fix register

llama_stack/distribution/routers/routing_tables.py

@@ -105,7 +105,9 @@ class CommonRoutingTableImpl(RoutingTable):
         self.dist_registry = dist_registry
 
     async def initialize(self) -> None:
-        async def add_objects(objs: List[RoutableObjectWithProvider], provider_id: str, cls) -> None:
+        async def add_objects(
+            objs: List[RoutableObjectWithProvider], provider_id: str, cls
+        ) -> None:
             for obj in objs:
                 if cls is None:
                     obj.provider_id = provider_id
@@ -140,7 +142,9 @@ class CommonRoutingTableImpl(RoutingTable):
         for p in self.impls_by_provider_id.values():
             await p.shutdown()
 
-    def get_provider_impl(self, routing_key: str, provider_id: Optional[str] = None) -> Any:
+    def get_provider_impl(
+        self, routing_key: str, provider_id: Optional[str] = None
+    ) -> Any:
         def apiname_object():
             if isinstance(self, ModelsRoutingTable):
                 return ("Inference", "model")
@@ -178,7 +182,9 @@ class CommonRoutingTableImpl(RoutingTable):
 
         raise ValueError(f"Provider not found for `{routing_key}`")
 
-    async def get_object_by_identifier(self, type: str, identifier: str) -> Optional[RoutableObjectWithProvider]:
+    async def get_object_by_identifier(
+        self, type: str, identifier: str
+    ) -> Optional[RoutableObjectWithProvider]:
         # Get from disk registry
         obj = await self.dist_registry.get(type, identifier)
         if not obj:
@@ -188,9 +194,13 @@ class CommonRoutingTableImpl(RoutingTable):
 
     async def unregister_object(self, obj: RoutableObjectWithProvider) -> None:
         await self.dist_registry.delete(obj.type, obj.identifier)
-        await unregister_object_from_provider(obj, self.impls_by_provider_id[obj.provider_id])
+        await unregister_object_from_provider(
+            obj, self.impls_by_provider_id[obj.provider_id]
+        )
 
-    async def register_object(self, obj: RoutableObjectWithProvider) -> RoutableObjectWithProvider:
+    async def register_object(
+        self, obj: RoutableObjectWithProvider
+    ) -> RoutableObjectWithProvider:
         # if provider_id is not specified, pick an arbitrary one from existing entries
         if not obj.provider_id and len(self.impls_by_provider_id) > 0:
             obj.provider_id = list(self.impls_by_provider_id.keys())[0]
@@ -245,7 +255,9 @@ class ModelsRoutingTable(CommonRoutingTableImpl, Models):
         if model_type is None:
             model_type = ModelType.llm
         if "embedding_dimension" not in metadata and model_type == ModelType.embedding:
-            raise ValueError("Embedding model must have an embedding dimension in its metadata")
+            raise ValueError(
+                "Embedding model must have an embedding dimension in its metadata"
+            )
         model = Model(
             identifier=model_id,
             provider_resource_id=provider_model_id,
@@ -265,7 +277,9 @@ class ModelsRoutingTable(CommonRoutingTableImpl, Models):
 
 class ShieldsRoutingTable(CommonRoutingTableImpl, Shields):
     async def list_shields(self) -> ListShieldsResponse:
-        return ListShieldsResponse(data=await self.get_all_with_type(ResourceType.shield.value))
+        return ListShieldsResponse(
+            data=await self.get_all_with_type(ResourceType.shield.value)
+        )
 
     async def get_shield(self, identifier: str) -> Optional[Shield]:
         return await self.get_object_by_identifier("shield", identifier)
@@ -324,14 +338,18 @@ class VectorDBsRoutingTable(CommonRoutingTableImpl, VectorDBs):
                         f"No provider specified and multiple providers available. Arbitrarily selected the first provider {provider_id}."
                     )
             else:
-                raise ValueError("No provider available. Please configure a vector_io provider.")
+                raise ValueError(
+                    "No provider available. Please configure a vector_io provider."
+                )
         model = await self.get_object_by_identifier("model", embedding_model)
         if model is None:
             raise ValueError(f"Model {embedding_model} not found")
         if model.model_type != ModelType.embedding:
             raise ValueError(f"Model {embedding_model} is not an embedding model")
         if "embedding_dimension" not in model.metadata:
-            raise ValueError(f"Model {embedding_model} does not have an embedding dimension")
+            raise ValueError(
+                f"Model {embedding_model} does not have an embedding dimension"
+            )
         vector_db_data = {
             "identifier": vector_db_id,
             "type": ResourceType.vector_db.value,
@@ -353,7 +371,9 @@ class VectorDBsRoutingTable(CommonRoutingTableImpl, VectorDBs):
 
 class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets):
     async def list_datasets(self) -> ListDatasetsResponse:
-        return ListDatasetsResponse(data=await self.get_all_with_type(ResourceType.dataset.value))
+        return ListDatasetsResponse(
+            data=await self.get_all_with_type(ResourceType.dataset.value)
+        )
 
     async def get_dataset(self, dataset_id: str) -> Optional[Dataset]:
         return await self.get_object_by_identifier("dataset", dataset_id)
@@ -371,9 +391,9 @@ class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets):
         provider_dataset_id = dataset_id
 
         # infer provider from source
-        if source.type == DatasetType.rows:
+        if source.type == DatasetType.rows.value:
             provider_id = "localfs"
-        elif source.type == DatasetType.uri:
+        elif source.type == DatasetType.uri.value:
             # infer provider from uri
             if source.uri.startswith("huggingface"):
                 provider_id = "huggingface"
@@ -406,7 +426,9 @@ class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets):
 
 class ScoringFunctionsRoutingTable(CommonRoutingTableImpl, ScoringFunctions):
     async def list_scoring_functions(self) -> ListScoringFunctionsResponse:
-        return ListScoringFunctionsResponse(data=await self.get_all_with_type(ResourceType.scoring_function.value))
+        return ListScoringFunctionsResponse(
+            data=await self.get_all_with_type(ResourceType.scoring_function.value)
+        )
 
     async def get_scoring_function(self, scoring_fn_id: str) -> Optional[ScoringFn]:
         return await self.get_object_by_identifier("scoring_function", scoring_fn_id)
@@ -503,8 +525,12 @@ class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups):
         args: Optional[Dict[str, Any]] = None,
     ) -> None:
         tools = []
-        tool_defs = await self.impls_by_provider_id[provider_id].list_runtime_tools(toolgroup_id, mcp_endpoint)
-        tool_host = ToolHost.model_context_protocol if mcp_endpoint else ToolHost.distribution
+        tool_defs = await self.impls_by_provider_id[provider_id].list_runtime_tools(
+            toolgroup_id, mcp_endpoint
+        )
+        tool_host = (
+            ToolHost.model_context_protocol if mcp_endpoint else ToolHost.distribution
+        )
 
         for tool_def in tool_defs:
             tools.append(

tests/integration/datasets/test_datasets.py

@@ -0,0 +1,24 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+import base64
+import mimetypes
+import os
+from pathlib import Path
+
+import pytest
+
+# How to run this test:
+#
+# LLAMA_STACK_CONFIG="template-name" pytest -v tests/integration/datasets
+
+
+def test_register_dataset(llama_stack_client):
+    dataset = llama_stack_client.datasets.register(
+        purpose="eval/messages-answer",
+        source={"type": "uri", "uri": "huggingface://llamastack/simpleqa?split=train"},
+    )
+    print(dataset)

tests/integration/datasets/test_script.py

@@ -0,0 +1,15 @@
+from llama_stack_client import LlamaStackClient
+from rich.pretty import pprint
+
+
+def test_register_dataset():
+    client = LlamaStackClient(base_url="http://localhost:8321")
+    dataset = client.datasets.register(
+        purpose="eval/messages-answer",
+        source={"type": "uri", "uri": "huggingface://llamastack/simpleqa?split=train"},
+    )
+    pprint(dataset)
+
+
+if __name__ == "__main__":
+    test_register_dataset()