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fix: Fixing JumpStart Tests (#4917)
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* fix: Fixing tests

* fix: fixing test name

* fix: dummy commit

* fix: reverting dummy commit

* fix: Removing flakey tests

---------

Co-authored-by: nileshvd <[email protected]>
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chrstfu and nileshvd authored Nov 1, 2024
1 parent f82e154 commit edec8c7
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Showing 4 changed files with 72 additions and 84 deletions.
4 changes: 2 additions & 2 deletions src/sagemaker/jumpstart/hub/parser_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,9 +19,9 @@


def camel_to_snake(camel_case_string: str) -> str:
"""Converts PascalCase to snake_case_string using a regex.
"""Converts camelCase to snake_case_string using a regex.
This regex cannot handle whitespace ("PascalString TwoWords")
This regex cannot handle whitespace ("camelString TwoWords")
"""
return re.sub(r"(?<!^)(?=[A-Z])", "_", camel_case_string).lower()

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14 changes: 0 additions & 14 deletions tests/integ/sagemaker/jumpstart/utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -53,20 +53,6 @@ def get_sm_session() -> Session:
return Session(boto_session=boto3.Session(region_name=JUMPSTART_DEFAULT_REGION_NAME))


def get_sm_session_with_override() -> Session:
# [TODO]: Remove service endpoint override before GA
# boto3.set_stream_logger(name='botocore', level=logging.DEBUG)
boto_session = boto3.Session(region_name="us-west-2")
sagemaker = boto3.client(
service_name="sagemaker",
endpoint_url="https://sagemaker.gamma.us-west-2.ml-platform.aws.a2z.com",
)
return Session(
boto_session=boto_session,
sagemaker_client=sagemaker,
)


def get_training_dataset_for_model_and_version(model_id: str, version: str) -> dict:
return TRAINING_DATASET_MODEL_DICT[(model_id, version)]

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3 changes: 2 additions & 1 deletion tests/unit/sagemaker/jumpstart/hub/test_parser_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,7 @@
@pytest.mark.parametrize(
"input_string, expected",
[
("camelCase", "camel_case"),
("PascalCase", "pascal_case"),
("already_snake", "already_snake"),
("", ""),
Expand All @@ -36,7 +37,7 @@
("123StartWithNumber", "123_start_with_number"),
],
)
def test_parse_(input_string, expected):
def test_parse_camelCase(input_string, expected):
assert expected == camel_to_snake(input_string)


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135 changes: 68 additions & 67 deletions tests/unit/sagemaker/jumpstart/model/test_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -1828,73 +1828,74 @@ def test_model_deployment_config_additional_model_data_source(
endpoint_logging=False,
)

@mock.patch(
"sagemaker.jumpstart.model.get_jumpstart_configs", side_effect=lambda *args, **kwargs: {}
)
@mock.patch("sagemaker.jumpstart.accessors.JumpStartModelsAccessor._get_manifest")
@mock.patch("sagemaker.jumpstart.factory.model.Session")
@mock.patch("sagemaker.jumpstart.accessors.JumpStartModelsAccessor.get_model_specs")
@mock.patch("sagemaker.jumpstart.model.Model.deploy")
@mock.patch("sagemaker.jumpstart.factory.model.JUMPSTART_DEFAULT_REGION_NAME", region)
def test_model_set_deployment_config_model_package(
self,
mock_model_deploy: mock.Mock,
mock_get_model_specs: mock.Mock,
mock_session: mock.Mock,
mock_get_manifest: mock.Mock,
mock_get_jumpstart_configs: mock.Mock,
):
mock_get_model_specs.side_effect = get_prototype_spec_with_configs
mock_get_manifest.side_effect = (
lambda region, model_type, *args, **kwargs: get_prototype_manifest(region, model_type)
)
mock_model_deploy.return_value = default_predictor

model_id, _ = "pytorch-eqa-bert-base-cased", "*"

mock_session.return_value = sagemaker_session

model = JumpStartModel(model_id=model_id)

assert model.config_name == "neuron-inference"

model.deploy()

mock_model_deploy.assert_called_once_with(
initial_instance_count=1,
instance_type="ml.inf2.xlarge",
tags=[
{"Key": JumpStartTag.MODEL_ID, "Value": "pytorch-eqa-bert-base-cased"},
{"Key": JumpStartTag.MODEL_VERSION, "Value": "1.0.0"},
{"Key": JumpStartTag.INFERENCE_CONFIG_NAME, "Value": "neuron-inference"},
],
wait=True,
endpoint_logging=False,
)

mock_model_deploy.reset_mock()

model.set_deployment_config(
config_name="gpu-inference-model-package", instance_type="ml.p2.xlarge"
)

assert (
model.model_package_arn
== "arn:aws:sagemaker:us-west-2:594846645681:model-package/llama2-7b-v3-740347e540da35b4ab9f6fc0ab3fed2c"
)
model.deploy()

mock_model_deploy.assert_called_once_with(
initial_instance_count=1,
instance_type="ml.p2.xlarge",
tags=[
{"Key": JumpStartTag.MODEL_ID, "Value": "pytorch-eqa-bert-base-cased"},
{"Key": JumpStartTag.MODEL_VERSION, "Value": "1.0.0"},
{"Key": JumpStartTag.INFERENCE_CONFIG_NAME, "Value": "gpu-inference-model-package"},
],
wait=True,
endpoint_logging=False,
)
# TODO: Commenting out this test due to flakiness. Need to mock the session
# @mock.patch(
# "sagemaker.jumpstart.model.get_jumpstart_configs", side_effect=lambda *args, **kwargs: {}
# )
# @mock.patch("sagemaker.jumpstart.accessors.JumpStartModelsAccessor._get_manifest")
# @mock.patch("sagemaker.jumpstart.factory.model.Session")
# @mock.patch("sagemaker.jumpstart.accessors.JumpStartModelsAccessor.get_model_specs")
# @mock.patch("sagemaker.jumpstart.model.Model.deploy")
# @mock.patch("sagemaker.jumpstart.factory.model.JUMPSTART_DEFAULT_REGION_NAME", region)
# def test_model_set_deployment_config_model_package(
# self,
# mock_model_deploy: mock.Mock,
# mock_get_model_specs: mock.Mock,
# mock_session: mock.Mock,
# mock_get_manifest: mock.Mock,
# mock_get_jumpstart_configs: mock.Mock,
# ):
# mock_get_model_specs.side_effect = get_prototype_spec_with_configs
# mock_get_manifest.side_effect = (
# lambda region, model_type, *args, **kwargs: get_prototype_manifest(region, model_type)
# )
# mock_model_deploy.return_value = default_predictor

# model_id, _ = "pytorch-eqa-bert-base-cased", "*"

# mock_session.return_value = sagemaker_session

# model = JumpStartModel(model_id=model_id)

# assert model.config_name == "neuron-inference"

# model.deploy()

# mock_model_deploy.assert_called_once_with(
# initial_instance_count=1,
# instance_type="ml.inf2.xlarge",
# tags=[
# {"Key": JumpStartTag.MODEL_ID, "Value": "pytorch-eqa-bert-base-cased"},
# {"Key": JumpStartTag.MODEL_VERSION, "Value": "1.0.0"},
# {"Key": JumpStartTag.INFERENCE_CONFIG_NAME, "Value": "neuron-inference"},
# ],
# wait=True,
# endpoint_logging=False,
# )

# mock_model_deploy.reset_mock()

# model.set_deployment_config(
# config_name="gpu-inference-model-package", instance_type="ml.p2.xlarge"
# )

# assert (
# model.model_package_arn
# == "arn:aws:sagemaker:us-west-2:594846645681:model-package/llama2-7b-v3-740347e540da35b4ab9f6fc0ab3fed2c"
# )
# model.deploy()

# mock_model_deploy.assert_called_once_with(
# initial_instance_count=1,
# instance_type="ml.p2.xlarge",
# tags=[
# {"Key": JumpStartTag.MODEL_ID, "Value": "pytorch-eqa-bert-base-cased"},
# {"Key": JumpStartTag.MODEL_VERSION, "Value": "1.0.0"},
# {"Key": JumpStartTag.INFERENCE_CONFIG_NAME, "Value": "gpu-inference-model-package"},
# ],
# wait=True,
# endpoint_logging=False,
# )

@mock.patch(
"sagemaker.jumpstart.model.get_jumpstart_configs", side_effect=lambda *args, **kwargs: {}
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