fix: update passing additional model data sources to API (aws#1472)

* feat: Added utils for extracting JS data sources   (aws#1471)

* added utils for accessing hosting data sources

* added utils for accessing hosting data sources

* removed other changes

* fixed formatting issues

* remove .keys()

* updated JumpStartModelDataSource

* fix slots

* remove print

* fix tests

* update tests

* fix: update passing additional model data sources to API

* format

* format

* format

* format and address comments

* format

* format

* format

---------

Co-authored-by: Adam Kozdrowicz <[email protected]>

src/sagemaker/jumpstart/factory/model.py

@@ -57,7 +57,7 @@
 
 from sagemaker.serverless.serverless_inference_config import ServerlessInferenceConfig
 from sagemaker.session import Session
-from sagemaker.utils import name_from_base, format_tags, Tags
+from sagemaker.utils import camel_case_to_pascal_case, name_from_base, format_tags, Tags
 from sagemaker.workflow.entities import PipelineVariable
 from sagemaker.compute_resource_requirements.resource_requirements import ResourceRequirements
 from sagemaker import resource_requirements
@@ -615,6 +615,40 @@ def _add_config_name_to_init_kwargs(kwargs: JumpStartModelInitKwargs) -> JumpSta
     return kwargs
 
 
+def _add_additional_model_data_sources_to_kwargs(
+    kwargs: JumpStartModelInitKwargs,
+) -> JumpStartModelInitKwargs:
+    """Sets default additional model data sources to init kwargs"""
+
+    specs = verify_model_region_and_return_specs(
+        model_id=kwargs.model_id,
+        version=kwargs.model_version,
+        scope=JumpStartScriptScope.INFERENCE,
+        region=kwargs.region,
+        tolerate_vulnerable_model=kwargs.tolerate_vulnerable_model,
+        tolerate_deprecated_model=kwargs.tolerate_deprecated_model,
+        sagemaker_session=kwargs.sagemaker_session,
+        model_type=kwargs.model_type,
+        config_name=kwargs.config_name,
+    )
+
+    additional_data_sources = specs.get_additional_s3_data_sources()
+    api_shape_additional_model_data_sources = (
+        [
+            camel_case_to_pascal_case(data_source.to_json())
+            for data_source in additional_data_sources
+        ]
+        if specs.get_additional_s3_data_sources()
+        else None
+    )
+
+    kwargs.additional_model_data_sources = (
+        kwargs.additional_model_data_sources or api_shape_additional_model_data_sources
+    )
+
+    return kwargs
+
+
 def _add_config_name_to_deploy_kwargs(
     kwargs: JumpStartModelDeployKwargs, training_config_name: Optional[str] = None
 ) -> JumpStartModelInitKwargs:
@@ -861,6 +895,7 @@ def get_init_kwargs(
     disable_instance_type_logging: bool = False,
     resources: Optional[ResourceRequirements] = None,
     config_name: Optional[str] = None,
+    additional_model_data_sources: Optional[Dict[str, Any]] = None,
 ) -> JumpStartModelInitKwargs:
     """Returns kwargs required to instantiate `sagemaker.estimator.Model` object."""
 
@@ -893,6 +928,7 @@ def get_init_kwargs(
         training_instance_type=training_instance_type,
         resources=resources,
         config_name=config_name,
+        additional_model_data_sources=additional_model_data_sources,
     )
 
     model_init_kwargs = _add_model_version_to_kwargs(kwargs=model_init_kwargs)
@@ -925,4 +961,6 @@ def get_init_kwargs(
 
     model_init_kwargs = _add_config_name_to_init_kwargs(kwargs=model_init_kwargs)
 
+    model_init_kwargs = _add_additional_model_data_sources_to_kwargs(kwargs=model_init_kwargs)
+
     return model_init_kwargs

src/sagemaker/jumpstart/model.py

@@ -102,6 +102,7 @@ def __init__(
         model_package_arn: Optional[str] = None,
         resources: Optional[ResourceRequirements] = None,
         config_name: Optional[str] = None,
+        additional_model_data_sources: Optional[Dict[str, Any]] = None,
     ):
         """Initializes a ``JumpStartModel``.
 
@@ -287,8 +288,10 @@ def __init__(
                 for a model to be deployed to an endpoint.
                 Only EndpointType.INFERENCE_COMPONENT_BASED supports this feature.
                 (Default: None).
-            config_name (Optional[str]): The name of the JumpStartConfig that can be
-                optionally applied to the model and override corresponding fields.
+            config_name (Optional[str]): The name of the JumpStart config that can be
+                optionally applied to the model.
+            additional_model_data_sources (Optional[Dict[str, Any]]): Additional location
+                of SageMaker model data (default: None).
         Raises:
             ValueError: If the model ID is not recognized by JumpStart.
         """
@@ -339,6 +342,7 @@ def _validate_model_id_and_type():
             model_package_arn=model_package_arn,
             resources=resources,
             config_name=config_name,
+            additional_model_data_sources=additional_model_data_sources,
         )
 
         self.orig_predictor_cls = predictor_cls
@@ -352,6 +356,7 @@ def _validate_model_id_and_type():
         self.region = model_init_kwargs.region
         self.sagemaker_session = model_init_kwargs.sagemaker_session
         self.config_name = model_init_kwargs.config_name
+        self.additional_model_data_sources = model_init_kwargs.additional_model_data_sources
 
         if self.model_type == JumpStartModelType.PROPRIETARY:
             self.log_subscription_warning()
@@ -369,14 +374,6 @@ def _validate_model_id_and_type():
             model_type=self.model_type,
         )
 
-        self.additional_model_data_sources = (
-            self._metadata_configs.get(self.config_name).resolved_config.get(
-                "hosting_additional_data_sources"
-            )
-            if self._metadata_configs.get(self.config_name)
-            else None
-        )
-
     def log_subscription_warning(self) -> None:
         """Log message prompting the customer to subscribe to the proprietary model."""
         subscription_link = verify_model_region_and_return_specs(

src/sagemaker/jumpstart/types.py

@@ -844,13 +844,15 @@ def to_json(self) -> Dict[str, Any]:
                 cur_val = getattr(self, att)
                 if issubclass(type(cur_val), JumpStartDataHolderType):
                     json_obj[att] = cur_val.to_json()
-                else:
+                elif cur_val:
                     json_obj[att] = cur_val
         return json_obj
 
 
 class AdditionalModelDataSource(JumpStartDataHolderType):
-    """Data class of additional model data source mirrors Hosting API."""
+    """Data class of additional model data source mirrors CreateModel API."""
+
+    SERIALIZATION_EXCLUSION_SET: Set[str] = set()
 
     __slots__ = ["channel_name", "s3_data_source"]
 
@@ -871,23 +873,26 @@ def from_json(self, json_obj: Dict[str, Any]) -> None:
         self.channel_name: str = json_obj["channel_name"]
         self.s3_data_source: S3DataSource = S3DataSource(json_obj["s3_data_source"])
 
-    def to_json(self) -> Dict[str, Any]:
+    def to_json(self, exclude_keys=True) -> Dict[str, Any]:
         """Returns json representation of AdditionalModelDataSource object."""
         json_obj = {}
         for att in self.__slots__:
             if hasattr(self, att):
-                cur_val = getattr(self, att)
-                if issubclass(type(cur_val), JumpStartDataHolderType):
-                    json_obj[att] = cur_val.to_json()
-                else:
-                    json_obj[att] = cur_val
+                if exclude_keys and att not in self.SERIALIZATION_EXCLUSION_SET or not exclude_keys:
+                    cur_val = getattr(self, att)
+                    if issubclass(type(cur_val), JumpStartDataHolderType):
+                        json_obj[att] = cur_val.to_json()
+                    else:
+                        json_obj[att] = cur_val
         return json_obj
 
 
 class JumpStartModelDataSource(AdditionalModelDataSource):
     """Data class JumpStart additional model data source."""
 
-    __slots__ = ["artifact_version"] + AdditionalModelDataSource.__slots__
+    SERIALIZATION_EXCLUSION_SET = {"artifact_version"}
+
+    __slots__ = list(SERIALIZATION_EXCLUSION_SET) + AdditionalModelDataSource.__slots__
 
     def from_json(self, json_obj: Dict[str, Any]) -> None:
         """Sets fields in object based on json.
@@ -1761,6 +1766,7 @@ class JumpStartModelInitKwargs(JumpStartKwargs):
         "training_instance_type",
         "resources",
         "config_name",
+        "additional_model_data_sources",
     ]
 
     SERIALIZATION_EXCLUSION_SET = {
@@ -1806,6 +1812,7 @@ def __init__(
         training_instance_type: Optional[str] = None,
         resources: Optional[ResourceRequirements] = None,
         config_name: Optional[str] = None,
+        additional_model_data_sources: Optional[Dict[str, Any]] = None,
     ) -> None:
         """Instantiates JumpStartModelInitKwargs object."""
 
@@ -1837,6 +1844,7 @@ def __init__(
         self.training_instance_type = training_instance_type
         self.resources = resources
         self.config_name = config_name
+        self.additional_model_data_sources = additional_model_data_sources
 
 
 class JumpStartModelDeployKwargs(JumpStartKwargs):

src/sagemaker/utils.py

@@ -1798,3 +1798,33 @@ def extract_instance_rate_per_hour(price_data: Dict[str, Any]) -> Optional[Dict[
                         "name": "Instance Rate",
                     }
     return None
+
+
+def camel_case_to_pascal_case(data: Dict[str, Any]) -> Dict[str, Any]:
+    """Iteratively updates a dictionary to convert all keys from snake_case to PascalCase.
+
+    Args:
+        data (dict): The dictionary to be updated.
+
+    Returns:
+        dict: The updated dictionary with keys in PascalCase.
+    """
+    result = {}
+
+    def convert_key(key):
+        """Converts a snake_case key to PascalCase."""
+        return "".join(part.capitalize() for part in key.split("_"))
+
+    def convert_value(value):
+        """Recursively processes the value of a key-value pair."""
+        if isinstance(value, dict):
+            return camel_case_to_pascal_case(value)
+        if isinstance(value, list):
+            return [convert_value(item) for item in value]
+
+        return value
+
+    for key, value in data.items():
+        result[convert_key(key)] = convert_value(value)
+
+    return result

tests/unit/sagemaker/jumpstart/model/test_model.py

@@ -759,7 +759,7 @@ def test_jumpstart_model_kwargs_match_parent_class(self):
         Please add the new argument to the skip set below,
         and reach out to JumpStart team."""
 
-        init_args_to_skip: Set[str] = set(["additional_model_data_sources"])
+        init_args_to_skip: Set[str] = set([])
         deploy_args_to_skip: Set[str] = set(["kwargs"])
 
         parent_class_init = Model.__init__

tests/unit/test_utils.py

@@ -34,6 +34,7 @@
 from sagemaker.experiments._run_context import _RunContext
 from sagemaker.session_settings import SessionSettings
 from sagemaker.utils import (
+    camel_case_to_pascal_case,
     deep_override_dict,
     flatten_dict,
     get_instance_type_family,
@@ -2055,3 +2056,42 @@ def test_resolve_routing_config(routing_config, expected):
 
 def test_resolve_routing_config_ex():
     pytest.raises(ValueError, lambda: _resolve_routing_config({"RoutingStrategy": "Invalid"}))
+
+
+class TestConvertToPascalCase(TestCase):
+    def test_simple_dict(self):
+        input_dict = {"first_name": "John", "last_name": "Doe"}
+        expected_output = {"FirstName": "John", "LastName": "Doe"}
+        self.assertEqual(camel_case_to_pascal_case(input_dict), expected_output)
+
+    def camel_case_to_pascal_case_nested(self):
+        input_dict = {
+            "model_name": "my-model",
+            "primary_container": {
+                "image": "my-docker-image:latest",
+                "model_data_url": "s3://my-bucket/model.tar.gz",
+                "environment": {"env_var_1": "value1", "env_var_2": "value2"},
+            },
+            "execution_role_arn": "arn:aws:iam::123456789012:role/my-sagemaker-role",
+            "tags": [
+                {"key": "project", "value": "my-project"},
+                {"key": "environment", "value": "development"},
+            ],
+        }
+        expected_output = {
+            "ModelName": "my-model",
+            "PrimaryContainer": {
+                "Image": "my-docker-image:latest",
+                "ModelDataUrl": "s3://my-bucket/model.tar.gz",
+                "Environment": {"EnvVar1": "value1", "EnvVar2": "value2"},
+            },
+            "ExecutionRoleArn": "arn:aws:iam::123456789012:role/my-sagemaker-role",
+            "Tags": [
+                {"Key": "project", "Value": "my-project"},
+                {"Key": "environment", "Value": "development"},
+            ],
+        }
+        self.assertEqual(camel_case_to_pascal_case(input_dict), expected_output)
+
+    def test_empty_input(self):
+        self.assertEqual(camel_case_to_pascal_case({}), {})