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fix: tests with new storage defaults

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pass `None` to tests which assumed kv backends and such weren't previously available, since the defaults used to be None

Signed-off-by: Charlie Doern <cdoern@redhat.com>
This commit is contained in:
Charlie Doern 2025-11-18 17:12:31 -05:00
parent 92945f4f4d
commit b807042ac1
2 changed files with 26 additions and 3 deletions
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6
tests/unit/conversations/test_conversations.py
View file

@ -38,6 +38,9 @@ async def service():
},
stores=ServerStoresConfig(
conversations=SqlStoreReference(backend="sql_test", table_name="openai_conversations"),
metadata=None,
inference=None,
prompts=None,
),
)
register_sqlstore_backends({"sql_test": storage.backends["sql_test"]})
@ -142,6 +145,9 @@ async def test_policy_configuration():
},
stores=ServerStoresConfig(
conversations=SqlStoreReference(backend="sql_test", table_name="openai_conversations"),
metadata=None,
inference=None,
prompts=None,
),
)
register_sqlstore_backends({"sql_test": storage.backends["sql_test"]})

23
tests/unit/core/test_stack_validation.py
View file

@ -10,8 +10,9 @@ from unittest.mock import AsyncMock
import pytest
from llama_stack.core.datatypes import QualifiedModel, SafetyConfig, StackRunConfig, StorageConfig, VectorStoresConfig
from llama_stack.core.datatypes import QualifiedModel, SafetyConfig, StackRunConfig, VectorStoresConfig
from llama_stack.core.stack import validate_safety_config, validate_vector_stores_config
from llama_stack.core.storage.datatypes import ServerStoresConfig, StorageConfig
from llama_stack_api import Api, ListModelsResponse, ListShieldsResponse, Model, ModelType, Shield
@ -21,7 +22,15 @@ class TestVectorStoresValidation:
run_config = StackRunConfig(
image_name="test",
providers={},
storage=StorageConfig(backends={}, stores={}),
storage=StorageConfig(
backends={},
stores=ServerStoresConfig(
metadata=None,
inference=None,
conversations=None,
prompts=None,
),
),
vector_stores=VectorStoresConfig(
default_provider_id="faiss",
default_embedding_model=QualifiedModel(
@ -41,7 +50,15 @@ class TestVectorStoresValidation:
run_config = StackRunConfig(
image_name="test",
providers={},
storage=StorageConfig(backends={}, stores={}),
storage=StorageConfig(
backends={},
stores=ServerStoresConfig(
metadata=None,
inference=None,
conversations=None,
prompts=None,
),
),
vector_stores=VectorStoresConfig(
default_provider_id="faiss",
default_embedding_model=QualifiedModel(