feat: Marketplace model support in HubService

src/sagemaker/jumpstart/hub/interfaces.py

@@ -451,12 +451,14 @@ def from_json(self, json_obj: str) -> None:
 class HubModelDocument(HubDataHolderType):
     """Data class for model type HubContentDocument from session.describe_hub_content()."""
 
-    SCHEMA_VERSION = "2.2.0"
+    SCHEMA_VERSION = "2.3.0"
 
     __slots__ = [
         "url",
         "min_sdk_version",
         "training_supported",
+        "model_types",
+        "capabilities",
         "incremental_training_supported",
         "dynamic_container_deployment_supported",
         "hosting_ecr_uri",
@@ -469,6 +471,7 @@ class HubModelDocument(HubDataHolderType):
         "hosting_use_script_uri",
         "hosting_eula_uri",
         "hosting_model_package_arn",
+        "model_subscription_link",
         "inference_configs",
         "inference_config_components",
         "inference_config_rankings",
@@ -549,18 +552,22 @@ def from_json(self, json_obj: Dict[str, Any]) -> None:
         Args:
             json_obj (Dict[str, Any]): Dictionary representation of hub model document.
         """
-        self.url: str = json_obj["Url"]
-        self.min_sdk_version: str = json_obj["MinSdkVersion"]
-        self.hosting_ecr_uri: Optional[str] = json_obj["HostingEcrUri"]
-        self.hosting_artifact_uri = json_obj["HostingArtifactUri"]
-        self.hosting_script_uri = json_obj["HostingScriptUri"]
-        self.inference_dependencies: List[str] = json_obj["InferenceDependencies"]
+        self.url: str = json_obj.get("Url")
+        self.min_sdk_version: str = json_obj.get("MinSdkVersion")
+        self.hosting_ecr_uri: Optional[str] = json_obj.get("HostingEcrUri")
+        self.hosting_artifact_uri = json_obj.get("HostingArtifactUri")
+        self.hosting_script_uri = json_obj.get("HostingScriptUri")
+        self.inference_dependencies: List[str] = json_obj.get("InferenceDependencies")
         self.inference_environment_variables: List[JumpStartEnvironmentVariable] = [
             JumpStartEnvironmentVariable(env_variable, is_hub_content=True)
-            for env_variable in json_obj["InferenceEnvironmentVariables"]
+            for env_variable in json_obj.get("InferenceEnvironmentVariables", [])
         ]
-        self.training_supported: bool = bool(json_obj["TrainingSupported"])
-        self.incremental_training_supported: bool = bool(json_obj["IncrementalTrainingSupported"])
+        self.model_types: Optional[List[str]] = json_obj.get("ModelTypes")
+        self.capabilities: Optional[List[str]] = json_obj.get("Capabilities")
+        self.training_supported: bool = bool(json_obj.get("TrainingSupported"))
+        self.incremental_training_supported: bool = bool(
+            json_obj.get("IncrementalTrainingSupported")
+        )
         self.dynamic_container_deployment_supported: Optional[bool] = (
             bool(json_obj.get("DynamicContainerDeploymentSupported"))
             if json_obj.get("DynamicContainerDeploymentSupported")
@@ -586,6 +593,8 @@ def from_json(self, json_obj: Dict[str, Any]) -> None:
         self.hosting_eula_uri: Optional[str] = json_obj.get("HostingEulaUri")
         self.hosting_model_package_arn: Optional[str] = json_obj.get("HostingModelPackageArn")
 
+        self.model_subscription_link: Optional[str] = json_obj.get("ModelSubscriptionLink")
+
         self.inference_config_rankings = self._get_config_rankings(json_obj)
         self.inference_config_components = self._get_config_components(json_obj)
         self.inference_configs = self._get_configs(json_obj)

src/sagemaker/jumpstart/hub/parser_utils.py

@@ -19,12 +19,11 @@
 
 
 def camel_to_snake(camel_case_string: str) -> str:
-    """Converts camelCaseString or UpperCamelCaseString to snake_case_string."""
-    snake_case_string = re.sub("(.)([A-Z][a-z]+)", r"\1_\2", camel_case_string)
-    if "-" in snake_case_string:
-        # remove any hyphen from the string for accurate conversion.
-        snake_case_string = snake_case_string.replace("-", "")
-    return re.sub("([a-z0-9])([A-Z])", r"\1_\2", snake_case_string).lower()
+    """Converts PascalCase to snake_case_string using a regex.
+
+    This regex cannot handle whitespace ("PascalString TwoWords")
+    """
+    return re.sub(r"(?<!^)(?=[A-Z])", "_", camel_case_string).lower()
 
 
 def snake_to_upper_camel(snake_case_string: str) -> str:

src/sagemaker/jumpstart/hub/parsers.py

@@ -137,6 +137,8 @@ def make_model_specs_from_describe_hub_content_response(
     hub_model_document: HubModelDocument = response.hub_content_document
     specs["url"] = hub_model_document.url
     specs["min_sdk_version"] = hub_model_document.min_sdk_version
+    specs["model_types"] = hub_model_document.model_types
+    specs["capabilities"] = hub_model_document.capabilities
     specs["training_supported"] = bool(hub_model_document.training_supported)
     specs["incremental_training_supported"] = bool(
         hub_model_document.incremental_training_supported
@@ -146,15 +148,19 @@ def make_model_specs_from_describe_hub_content_response(
     specs["inference_config_components"] = hub_model_document.inference_config_components
     specs["inference_config_rankings"] = hub_model_document.inference_config_rankings
 
-    hosting_artifact_bucket, hosting_artifact_key = parse_s3_url(  # pylint: disable=unused-variable
-        hub_model_document.hosting_artifact_uri
-    )
-    specs["hosting_artifact_key"] = hosting_artifact_key
-    specs["hosting_artifact_uri"] = hub_model_document.hosting_artifact_uri
-    hosting_script_bucket, hosting_script_key = parse_s3_url(  # pylint: disable=unused-variable
-        hub_model_document.hosting_script_uri
-    )
-    specs["hosting_script_key"] = hosting_script_key
+    if hub_model_document.hosting_artifact_uri:
+        _, hosting_artifact_key = parse_s3_url(  # pylint: disable=unused-variable
+            hub_model_document.hosting_artifact_uri
+        )
+        specs["hosting_artifact_key"] = hosting_artifact_key
+        specs["hosting_artifact_uri"] = hub_model_document.hosting_artifact_uri
+
+    if hub_model_document.hosting_script_uri:
+        _, hosting_script_key = parse_s3_url(  # pylint: disable=unused-variable
+            hub_model_document.hosting_script_uri
+        )
+        specs["hosting_script_key"] = hosting_script_key
+
     specs["inference_environment_variables"] = hub_model_document.inference_environment_variables
     specs["inference_vulnerable"] = False
     specs["inference_dependencies"] = hub_model_document.inference_dependencies
@@ -220,6 +226,8 @@ def make_model_specs_from_describe_hub_content_response(
     if hub_model_document.hosting_model_package_arn:
         specs["hosting_model_package_arns"] = {region: hub_model_document.hosting_model_package_arn}
 
+    specs["model_subscription_link"] = hub_model_document.model_subscription_link
+
     specs["hosting_use_script_uri"] = hub_model_document.hosting_use_script_uri
 
     specs["hosting_instance_type_variants"] = hub_model_document.hosting_instance_type_variants

src/sagemaker/jumpstart/hub/utils.py

@@ -14,7 +14,7 @@
 """This module contains utilities related to SageMaker JumpStart Hub."""
 from __future__ import absolute_import
 import re
-from typing import Optional
+from typing import Optional, List, Any
 from sagemaker.jumpstart.hub.types import S3ObjectLocation
 from sagemaker.s3_utils import parse_s3_url
 from sagemaker.session import Session
@@ -23,6 +23,14 @@
 from sagemaker.jumpstart import constants
 from packaging.specifiers import SpecifierSet, InvalidSpecifier
 
+PROPRIETARY_VERSION_KEYWORD = "@marketplace-version:"
+
+
+def _convert_str_to_optional(string: str) -> Optional[str]:
+    if string == "None":
+        string = None
+    return string
+
 
 def get_info_from_hub_resource_arn(
     arn: str,
@@ -37,7 +45,7 @@ def get_info_from_hub_resource_arn(
         hub_name = match.group(4)
         hub_content_type = match.group(5)
         hub_content_name = match.group(6)
-        hub_content_version = match.group(7)
+        hub_content_version = _convert_str_to_optional(match.group(7))
 
         return HubArnExtractedInfo(
             partition=partition,
@@ -194,10 +202,14 @@ def get_hub_model_version(
     hub_model_version: Optional[str] = None,
     sagemaker_session: Session = constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
 ) -> str:
-    """Returns available Jumpstart hub model version
+    """Returns available Jumpstart hub model version.
+
+    It will attempt both a semantic HubContent version search and Marketplace version search.
+    If the Marketplace version is also semantic, this function will default to HubContent version.
 
     Raises:
         ClientError: If the specified model is not found in the hub.
+        KeyError: If the specified model version is not found.
     """
 
     try:
@@ -207,6 +219,22 @@ def get_hub_model_version(
     except Exception as ex:
         raise Exception(f"Failed calling list_hub_content_versions: {str(ex)}")
 
+    try:
+        return _get_hub_model_version_for_open_weight_version(
+            hub_content_summaries, hub_model_version
+        )
+    except KeyError:
+        marketplace_hub_content_version = _get_hub_model_version_for_marketplace_version(
+            hub_content_summaries, hub_model_version
+        )
+        if marketplace_hub_content_version:
+            return marketplace_hub_content_version
+        raise
+
+
+def _get_hub_model_version_for_open_weight_version(
+    hub_content_summaries: List[Any], hub_model_version: Optional[str] = None
+) -> str:
     available_model_versions = [model.get("HubContentVersion") for model in hub_content_summaries]
 
     if hub_model_version == "*" or hub_model_version is None:
@@ -222,3 +250,37 @@ def get_hub_model_version(
     hub_model_version = str(max(available_versions_filtered))
 
     return hub_model_version
+
+
+def _get_hub_model_version_for_marketplace_version(
+    hub_content_summaries: List[Any], marketplace_version: str
+) -> Optional[str]:
+    """Returns the HubContent version associated with the Marketplace version.
+
+    This function will check within the HubContentSearchKeywords for the proprietary version.
+    """
+    for model in hub_content_summaries:
+        model_search_keywords = model.get("HubContentSearchKeywords", [])
+        if _hub_search_keywords_contains_marketplace_version(
+            model_search_keywords, marketplace_version
+        ):
+            return model.get("HubContentVersion")
+
+    return None
+
+
+def _hub_search_keywords_contains_marketplace_version(
+    model_search_keywords: List[str], marketplace_version: str
+) -> bool:
+    proprietary_version_keyword = next(
+        filter(lambda s: s.startswith(PROPRIETARY_VERSION_KEYWORD), model_search_keywords), None
+    )
+
+    if not proprietary_version_keyword:
+        return False
+
+    proprietary_version = proprietary_version_keyword.lstrip(PROPRIETARY_VERSION_KEYWORD)
+    if proprietary_version == marketplace_version:
+        return True
+
+    return False

src/sagemaker/jumpstart/types.py

@@ -1200,6 +1200,8 @@ class JumpStartMetadataBaseFields(JumpStartDataHolderType):
         "url",
         "version",
         "min_sdk_version",
+        "model_types",
+        "capabilities",
         "incremental_training_supported",
         "hosting_ecr_specs",
         "hosting_ecr_uri",
@@ -1287,6 +1289,8 @@ def from_json(self, json_obj: Dict[str, Any]) -> None:
             json_obj.get("incremental_training_supported", False)
         )
         if self._is_hub_content:
+            self.capabilities: Optional[List[str]] = json_obj.get("capabilities")
+            self.model_types: Optional[List[str]] = json_obj.get("model_types")
             self.hosting_ecr_uri: Optional[str] = json_obj.get("hosting_ecr_uri")
             self._non_serializable_slots.append("hosting_ecr_specs")
         else:

src/sagemaker/jumpstart/utils.py

@@ -856,7 +856,16 @@ def validate_model_id_and_get_type(
     if not isinstance(model_id, str):
         return None
     if hub_arn:
-        return None
+        model_types = _validate_hub_service_model_id_and_get_type(
+            model_id=model_id,
+            hub_arn=hub_arn,
+            region=region,
+            model_version=model_version,
+            sagemaker_session=sagemaker_session,
+        )
+        return (
+            model_types[0] if model_types else None
+        )  # Currently this function only supports one model type
 
     s3_client = sagemaker_session.s3_client if sagemaker_session else None
     region = region or constants.JUMPSTART_DEFAULT_REGION_NAME
@@ -881,6 +890,37 @@ def validate_model_id_and_get_type(
     return None
 
 
+def _validate_hub_service_model_id_and_get_type(
+    model_id: Optional[str],
+    hub_arn: str,
+    region: Optional[str] = None,
+    model_version: Optional[str] = None,
+    sagemaker_session: Optional[Session] = constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
+) -> List[enums.JumpStartModelType]:
+    """Returns a list of JumpStartModelType based off the HubContent.
+
+    Only returns valid JumpStartModelType. Returns an empty array if none are found.
+    """
+    hub_model_specs = accessors.JumpStartModelsAccessor.get_model_specs(
+        region=region,
+        model_id=model_id,
+        version=model_version,
+        hub_arn=hub_arn,
+        sagemaker_session=sagemaker_session,
+    )
+
+    hub_content_model_types = []
+    model_types_field: Optional[List[str]] = getattr(hub_model_specs, "model_types", [])
+    model_types = model_types_field if model_types_field else []
+    for model_type in model_types:
+        try:
+            hub_content_model_types.append(enums.JumpStartModelType[model_type])
+        except ValueError:
+            continue
+
+    return hub_content_model_types
+
+
 def _extract_value_from_list_of_tags(
     tag_keys: List[str],
     list_tags_result: List[str],

tests/integ/sagemaker/jumpstart/model/test_jumpstart_model.py

@@ -53,6 +53,8 @@
     "ap-southeast-2",
 }
 
+TEST_HUB_WITH_REFERENCE = "mock-hub-name"
+
 
 def test_non_prepacked_jumpstart_model(setup):
 

tests/integ/sagemaker/jumpstart/utils.py

@@ -53,23 +53,18 @@ 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-internal",
-#         endpoint_url="https://sagemaker.beta.us-west-2.ml-platform.aws.a2z.com",
-#     )
-#     sagemaker_runtime = boto3.client(
-#         service_name="runtime.maeve",
-#         endpoint_url="https://maeveruntime.beta.us-west-2.ml-platform.aws.a2z.com",
-#     )
-#     return Session(
-#         boto_session=boto_session,
-#         sagemaker_client=sagemaker,
-#         sagemaker_runtime_client=sagemaker_runtime,
-#     )
+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:

tests/unit/sagemaker/jumpstart/constants.py

@@ -9178,6 +9178,7 @@
         "TrainingArtifactS3DataType": "S3Prefix",
         "TrainingArtifactCompressionType": "None",
         "TrainingArtifactUri": "s3://jumpstart-cache-prod-us-west-2/huggingface-training/train-huggingface-llm-gemma-2b-instruct.tar.gz",  # noqa: E501
+        "ModelTypes": ["OPEN_WEIGHTS", "PROPRIETARY"],
         "Hyperparameters": [
             {
                 "Name": "peft_type",