llama-stack-mirror/tests/unit/providers/batches/conftest.py
Ashwin Bharambe bd5ad2963e
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refactor(storage): make { kvstore, sqlstore } as llama stack "internal" APIs (#4181)
These primitives (used both by the Stack as well as provider
implementations) can be thought of fruitfully as internal-only APIs
which can themselves have multiple implementations. We use the new
`llama_stack_api.internal` namespace for this.

In addition: the change moves kv/sql store impls, configs, and
dependency helpers under `core/storage`

## Testing

`pytest tests/unit/utils/test_authorized_sqlstore.py`, other existing CI
2025-11-18 13:15:16 -08:00

56 lines
1.9 KiB
Python

# 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.
"""Shared fixtures for batches provider unit tests."""
import tempfile
from pathlib import Path
from unittest.mock import AsyncMock
import pytest
from llama_stack.core.storage.datatypes import KVStoreReference, SqliteKVStoreConfig
from llama_stack.core.storage.kvstore import kvstore_impl, register_kvstore_backends
from llama_stack.providers.inline.batches.reference.batches import ReferenceBatchesImpl
from llama_stack.providers.inline.batches.reference.config import ReferenceBatchesImplConfig
@pytest.fixture
async def provider():
"""Create a test provider instance with temporary database."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test_batches.db"
backend_name = "kv_batches_test"
kvstore_config = SqliteKVStoreConfig(db_path=str(db_path))
register_kvstore_backends({backend_name: kvstore_config})
config = ReferenceBatchesImplConfig(kvstore=KVStoreReference(backend=backend_name, namespace="batches"))
# Create kvstore and mock APIs
kvstore = await kvstore_impl(config.kvstore)
mock_inference = AsyncMock()
mock_files = AsyncMock()
mock_models = AsyncMock()
provider = ReferenceBatchesImpl(config, mock_inference, mock_files, mock_models, kvstore)
await provider.initialize()
# unit tests should not require background processing
provider.process_batches = False
yield provider
await provider.shutdown()
@pytest.fixture
def sample_batch_data():
"""Sample batch data for testing."""
return {
"input_file_id": "file_abc123",
"endpoint": "/v1/chat/completions",
"completion_window": "24h",
"metadata": {"test": "true", "priority": "high"},
}