def _deploy_lambda_function(
deployment_pb,
bento_service_metadata,
deployment_spec,
lambda_s3_bucket,
lambda_deployment_config,
bento_path,
):
deployment_path_prefix = os.path.join(deployment_pb.namespace,
deployment_pb.name)
py_major, py_minor, _ = bento_service_metadata.env.python_version.split(
'.')
if py_major != '3':
raise BentoMLException(
'Python 2 is not supported for Lambda Deployment')
python_runtime = 'python{}.{}'.format(py_major, py_minor)
artifact_types = [
item.artifact_type for item in bento_service_metadata.artifacts
]
if any(i in ['TensorflowSavedModelArtifact', 'KerasModelArtifact']
for i in artifact_types) and (py_major, py_minor) != ('3', '6'):
raise BentoMLException(
'AWS Lambda Deployment only supports BentoML services'
'built with Python 3.6.x. To fix this, repack your'
'service with the right Python version'
'(hint: pyenv/anaconda) and try again')
api_names = ([lambda_deployment_config.api_name]
if lambda_deployment_config.api_name else
[api.name for api in bento_service_metadata.apis])
raise_if_api_names_not_found_in_bento_service_metadata(
bento_service_metadata, api_names)
with TempDirectory() as lambda_project_dir:
logger.debug(
'Generating cloudformation template.yaml for lambda project at %s',
lambda_project_dir,
)
template_file_path = _create_aws_lambda_cloudformation_template_file(
project_dir=lambda_project_dir,
namespace=deployment_pb.namespace,
deployment_name=deployment_pb.name,
deployment_path_prefix=deployment_path_prefix,
api_names=api_names,
bento_service_name=deployment_spec.bento_name,
s3_bucket_name=lambda_s3_bucket,
py_runtime=python_runtime,
memory_size=lambda_deployment_config.memory_size,
timeout=lambda_deployment_config.timeout,
)
logger.debug('Validating generated template.yaml')
validate_sam_template(
template_file_path,
lambda_deployment_config.region,
lambda_project_dir,
)
logger.debug(
'Initializing lambda project in directory: %s ...',
lambda_project_dir,
)
init_sam_project(
lambda_project_dir,
bento_path,
deployment_pb.name,
deployment_spec.bento_name,
api_names,
aws_region=lambda_deployment_config.region,
)
for api_name in api_names:
build_directory = os.path.join(lambda_project_dir, '.aws-sam',
'build', api_name)
logger.debug(
'Checking is function "%s" bundle under lambda size '
'limit',
api_name,
)
# Since we only use s3 get object in lambda function, and
# lambda function pack their own boto3/botocore modules,
# we will just delete those modules from function bundle
# directory
delete_list = ['boto3', 'botocore']
for name in delete_list:
logger.debug('Remove module "%s" from build directory', name)
shutil.rmtree(os.path.join(build_directory, name))
total_build_dir_size = total_file_or_directory_size(
build_directory)
if total_build_dir_size > LAMBDA_FUNCTION_MAX_LIMIT:
raise BentoMLException(
'Build function size is over 700MB, max size '
'capable for AWS Lambda function')
if total_build_dir_size >= LAMBDA_FUNCTION_LIMIT:
logger.debug(
'Function %s is over lambda size limit, attempting '
'reduce it',
api_name,
)
reduce_bundle_size_and_upload_extra_resources_to_s3(
build_directory=build_directory,
region=lambda_deployment_config.region,
s3_bucket=lambda_s3_bucket,
deployment_prefix=deployment_path_prefix,
function_name=api_name,
lambda_project_dir=lambda_project_dir,
)
else:
logger.debug(
'Function bundle is within Lambda limit, removing '
'download_extra_resources.py file from function bundle')
os.remove(
os.path.join(build_directory,
'download_extra_resources.py'))
logger.info('Packaging AWS Lambda project at %s ...',
lambda_project_dir)
lambda_package(
lambda_project_dir,
lambda_deployment_config.region,
lambda_s3_bucket,
deployment_path_prefix,
)
logger.info('Deploying lambda project')
stack_name = generate_aws_compatible_string(deployment_pb.namespace +
'-' + deployment_pb.name)
lambda_deploy(
lambda_project_dir,
lambda_deployment_config.region,
stack_name=stack_name,
)
def deploy_ec2_service(
deployment_pb,
deployment_spec,
bento_path,
aws_ec2_deployment_config,
s3_bucket_name,
region,
):
(
sam_template_name,
deployment_stack_name,
repo_name,
elb_name,
) = generate_ec2_resource_names(deployment_pb.namespace,
deployment_pb.name)
with TempDirectory() as project_path:
repository_id = create_ecr_repository_if_not_exists(region, repo_name)
registry_url, username, password = get_ecr_login_info(
region, repository_id)
ecr_tag = generate_docker_image_tag(repo_name,
deployment_spec.bento_version,
registry_url)
build_docker_image(context_path=bento_path, image_tag=ecr_tag)
push_docker_image_to_repository(repository=ecr_tag,
username=username,
password=password)
logger.info("Generating user data")
encoded_user_data = _make_user_data(registry_url, ecr_tag, region)
logger.info("Making template")
template_file_path = _make_cloudformation_template(
project_path,
encoded_user_data,
s3_bucket_name,
sam_template_name,
elb_name,
aws_ec2_deployment_config.ami_id,
aws_ec2_deployment_config.instance_type,
aws_ec2_deployment_config.autoscale_min_size,
aws_ec2_deployment_config.autoscale_desired_capacity,
aws_ec2_deployment_config.autoscale_max_size,
)
validate_sam_template(sam_template_name,
aws_ec2_deployment_config.region, project_path)
logger.info("Building service")
build_template(template_file_path, project_path,
aws_ec2_deployment_config.region)
logger.info("Packaging service")
package_template(s3_bucket_name, project_path,
aws_ec2_deployment_config.region)
logger.info("Deploying service")
deploy_template(
deployment_stack_name,
s3_bucket_name,
project_path,
aws_ec2_deployment_config.region,
)
def deploy_service(
self,
deployment_pb,
deployment_spec,
bento_path,
aws_ec2_deployment_config,
s3_bucket_name,
region,
):
sam_template_name = generate_aws_compatible_string(
"btml-template-{namespace}-{name}".format(
namespace=deployment_pb.namespace, name=deployment_pb.name))
deployment_stack_name = generate_aws_compatible_string(
"btml-stack-{namespace}-{name}".format(
namespace=deployment_pb.namespace, name=deployment_pb.name))
repo_name = generate_aws_compatible_string(
"btml-repo-{namespace}-{name}".format(
namespace=deployment_pb.namespace, name=deployment_pb.name))
elb_name = generate_aws_compatible_string(
"{namespace}-{name}".format(namespace=deployment_pb.namespace,
name=deployment_pb.name),
max_length=32,
)
with TempDirectory() as project_path:
registry_id = _create_ecr_repo(repo_name, region)
registry_token, registry_url = _get_ecr_password(
registry_id, region)
registry_username, registry_password = _get_creds_from_token(
registry_token)
registry_domain = registry_url.replace("https://", "")
push_tag = f"{registry_domain}/{repo_name}"
pull_tag = push_tag + f":{deployment_spec.bento_version}"
logger.info("Containerizing service")
containerize_bento_service(
bento_name=deployment_spec.bento_name,
bento_version=deployment_spec.bento_version,
saved_bundle_path=bento_path,
push=True,
tag=push_tag,
build_arg={},
username=registry_username,
password=registry_password,
)
logger.info("Generating user data")
encoded_user_data = _make_user_data(registry_url, pull_tag, region)
logger.info("Making template")
template_file_path = _make_cloudformation_template(
project_path,
encoded_user_data,
s3_bucket_name,
sam_template_name,
elb_name,
aws_ec2_deployment_config.ami_id,
aws_ec2_deployment_config.instance_type,
aws_ec2_deployment_config.autoscale_min_size,
aws_ec2_deployment_config.autoscale_desired_capacity,
aws_ec2_deployment_config.autoscale_max_size,
)
validate_sam_template(sam_template_name,
aws_ec2_deployment_config.region,
project_path)
logger.info("Building service")
build_template(template_file_path, project_path,
aws_ec2_deployment_config.region)
logger.info("Packaging service")
package_template(s3_bucket_name, project_path,
aws_ec2_deployment_config.region)
logger.info("Deploying service")
deploy_template(
deployment_stack_name,
s3_bucket_name,
project_path,
aws_ec2_deployment_config.region,
)
def deploy_ec2_service(
deployment_pb,
deployment_spec,
bento_path,
aws_ec2_deployment_config,
s3_bucket_name,
region,
):
(
sam_template_name,
deployment_stack_name,
repo_name,
elb_name,
) = generate_ec2_resource_names(deployment_pb.namespace,
deployment_pb.name)
with TempDirectory() as project_path:
repository_id = create_ecr_repository_if_not_exists(region, repo_name)
repository_url, username, password = get_ecr_login_info(
region, repository_id)
registry_domain = repository_url.replace("https://", "")
push_tag = f"{registry_domain}/{repo_name}"
pull_tag = push_tag + f":{deployment_spec.bento_version}"
logger.info("Containerizing service")
containerize_bento_service(
bento_name=deployment_spec.bento_name,
bento_version=deployment_spec.bento_version,
saved_bundle_path=bento_path,
push=True,
tag=push_tag,
build_arg={},
username=username,
password=password,
)
logger.info("Generating user data")
encoded_user_data = _make_user_data(repository_url, pull_tag, region)
logger.info("Making template")
template_file_path = _make_cloudformation_template(
project_path,
encoded_user_data,
s3_bucket_name,
sam_template_name,
elb_name,
aws_ec2_deployment_config.ami_id,
aws_ec2_deployment_config.instance_type,
aws_ec2_deployment_config.autoscale_min_size,
aws_ec2_deployment_config.autoscale_desired_capacity,
aws_ec2_deployment_config.autoscale_max_size,
)
validate_sam_template(sam_template_name,
aws_ec2_deployment_config.region, project_path)
logger.info("Building service")
build_template(template_file_path, project_path,
aws_ec2_deployment_config.region)
logger.info("Packaging service")
package_template(s3_bucket_name, project_path,
aws_ec2_deployment_config.region)
logger.info("Deploying service")
deploy_template(
deployment_stack_name,
s3_bucket_name,
project_path,
aws_ec2_deployment_config.region,
)