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WIP: Single endpoint per stage #242

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Nov 16, 2023
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24 changes: 15 additions & 9 deletions example-get-started-experiments/code/sagemaker/deploy_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
import sys

import boto3
import botocore

from sagemaker.deserializers import JSONDeserializer
from sagemaker.pytorch import PyTorchModel
Expand Down Expand Up @@ -34,16 +35,11 @@ def deploy(
sagemaker_logger.setLevel(logging.DEBUG)
sagemaker_logger.addHandler(logging.StreamHandler(sys.stdout))

composed_name = re.sub(
r"[^a-zA-Z0-9\-]", "-", f"{name}-{version}-{stage}")

try:
boto3.client("sagemaker").delete_endpoint(EndpointName=composed_name)
except:
pass
version_name = re.sub(
r"[^a-zA-Z0-9\-]", "-", f"{name}-{version}")

model = PyTorchModel(
name=composed_name,
name=version_name,
model_data=model_data,
framework_version="1.12",
py_version="py38",
Expand All @@ -57,11 +53,21 @@ def deploy(
},
)

stage_name = re.sub(
r"[^a-zA-Z0-9\-]", "-", f"{name}-{stage}")
try:
boto3.client("sagemaker").delete_endpoint(EndpointName=stage_name)
except botocore.exceptions.ClientError as e:
sagemaker_logger.warn(e)
try:
boto3.client("sagemaker").delete_endpoint_config(EndpointConfigName=stage_name)
except botocore.exceptions.ClientError as e:
sagemaker_logger.warn(e)

return model.deploy(
initial_instance_count=1,
deserializer=JSONDeserializer(),
endpoint_name=composed_name,
endpoint_name=stage_name,
serverless_inference_config=ServerlessInferenceConfig(
memory_size_in_mb=memory_size[stage],
max_concurrency=max_concurrency[stage]
Expand Down