add options for vectorio and safety

tests/client-sdk/safety/conftest.py

@@ -0,0 +1,22 @@
+# 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.
+
+
+def pytest_addoption(parser):
+    parser.addoption(
+        "--safety_shield",
+        action="store",
+        default="meta-llama/Llama-Guard-3-1B",
+        help="Specify the safety shield model to use for testing",
+    )
+
+
+def pytest_generate_tests(metafunc):
+    if "llama_guard_text_shield_id" in metafunc.fixturenames:
+        metafunc.parametrize(
+            "llama_guard_text_shield_id",
+            [metafunc.config.getoption("--safety_shield")],
+        )

tests/client-sdk/safety/test_safety.py

@@ -32,16 +32,6 @@ def available_shields(llama_stack_client):
     return [shield.identifier for shield in llama_stack_client.shields.list()]
 
 
-@pytest.fixture(scope="session")
-def llama_guard_text_shield_id(available_shields):
-    if "meta-llama/Llama-Guard-3-1B" in available_shields:
-        return "meta-llama/Llama-Guard-3-1B"
-    elif "meta-llama/Llama-Guard-3-8B" in available_shields:
-        return "meta-llama/Llama-Guard-3-8B"
-    else:
-        pytest.skip("Llama-Guard shield is not available. Skipping.")
-
-
 @pytest.fixture(scope="session")
 def code_scanner_shield_id(available_shields):
     if "CodeScanner" in available_shields:

tests/client-sdk/vector_io/conftest.py

@@ -0,0 +1,22 @@
+# 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.
+
+
+def pytest_addoption(parser):
+    parser.addoption(
+        "--embedding-model",
+        action="store",
+        default="all-MiniLM-L6-v2",
+        help="Specify the embedding model to use for testing",
+    )
+
+
+def pytest_generate_tests(metafunc):
+    if "embedding_model" in metafunc.fixturenames:
+        metafunc.parametrize(
+            "embedding_model",
+            [metafunc.config.getoption("--embedding-model")],
+        )

tests/client-sdk/vector_io/test_vector_io.py

@@ -6,39 +6,13 @@
 
 import random
 
-import pytest
 
-
+def test_vector_db_retrieve(llama_stack_client, embedding_model):
-@pytest.fixture(scope="function")
-def empty_vector_db_registry(llama_stack_client):
-    vector_dbs = [
-        vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
-    ]
-    for vector_db_id in vector_dbs:
-        llama_stack_client.vector_dbs.unregister(vector_db_id=vector_db_id)
-
-
-@pytest.fixture(scope="function")
-def single_entry_vector_db_registry(llama_stack_client, empty_vector_db_registry):
-    vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
-    llama_stack_client.vector_dbs.register(
-        vector_db_id=vector_db_id,
-        embedding_model="all-MiniLM-L6-v2",
-        embedding_dimension=384,
-        provider_id="faiss",
-    )
-    vector_dbs = [
-        vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
-    ]
-    return vector_dbs
-
-
-def test_vector_db_retrieve(llama_stack_client, empty_vector_db_registry):
     # Register a memory bank first
     vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
     llama_stack_client.vector_dbs.register(
         vector_db_id=vector_db_id,
-        embedding_model="all-MiniLM-L6-v2",
+        embedding_model=embedding_model,
         embedding_dimension=384,
         provider_id="faiss",
     )
@@ -47,23 +21,23 @@ def test_vector_db_retrieve(llama_stack_client, empty_vector_db_registry):
     response = llama_stack_client.vector_dbs.retrieve(vector_db_id=vector_db_id)
     assert response is not None
     assert response.identifier == vector_db_id
-    assert response.embedding_model == "all-MiniLM-L6-v2"
+    assert response.embedding_model == embedding_model
     assert response.provider_id == "faiss"
     assert response.provider_resource_id == vector_db_id
 
 
-def test_vector_db_list(llama_stack_client, empty_vector_db_registry):
+def test_vector_db_list(llama_stack_client):
     vector_dbs_after_register = [
         vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
     ]
     assert len(vector_dbs_after_register) == 0
 
 
-def test_vector_db_register(llama_stack_client, empty_vector_db_registry):
+def test_vector_db_register(llama_stack_client, embedding_model):
     vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
     llama_stack_client.vector_dbs.register(
         vector_db_id=vector_db_id,
-        embedding_model="all-MiniLM-L6-v2",
+        embedding_model=embedding_model,
         embedding_dimension=384,
         provider_id="faiss",
     )
@@ -74,7 +48,7 @@ def test_vector_db_register(llama_stack_client, empty_vector_db_registry):
     assert vector_dbs_after_register == [vector_db_id]
 
 
-def test_vector_db_unregister(llama_stack_client, single_entry_vector_db_registry):
+def test_vector_db_unregister(llama_stack_client):
     vector_dbs = [
         vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
     ]