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https://github.com/meta-llama/llama-stack.git
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694c142b89
* Add provider deprecation support; change directory structure * fix a couple dangling imports * move the meta_reference safety dir also
95 lines
2.9 KiB
Python
95 lines
2.9 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import os
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import tempfile
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import pytest
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import pytest_asyncio
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from llama_stack.distribution.datatypes import Api, Provider
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from llama_stack.providers.inline.memory.faiss import FaissImplConfig
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from llama_stack.providers.remote.memory.pgvector import PGVectorConfig
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from llama_stack.providers.remote.memory.weaviate import WeaviateConfig
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from llama_stack.providers.tests.resolver import resolve_impls_for_test_v2
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from llama_stack.providers.utils.kvstore import SqliteKVStoreConfig
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from ..conftest import ProviderFixture, remote_stack_fixture
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from ..env import get_env_or_fail
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@pytest.fixture(scope="session")
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def memory_remote() -> ProviderFixture:
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return remote_stack_fixture()
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@pytest.fixture(scope="session")
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def memory_meta_reference() -> ProviderFixture:
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temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".db")
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return ProviderFixture(
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providers=[
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Provider(
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provider_id="meta-reference",
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provider_type="meta-reference",
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config=FaissImplConfig(
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kvstore=SqliteKVStoreConfig(db_path=temp_file.name).model_dump(),
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).model_dump(),
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)
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],
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)
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@pytest.fixture(scope="session")
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def memory_pgvector() -> ProviderFixture:
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return ProviderFixture(
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providers=[
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Provider(
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provider_id="pgvector",
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provider_type="remote::pgvector",
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config=PGVectorConfig(
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host=os.getenv("PGVECTOR_HOST", "localhost"),
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port=os.getenv("PGVECTOR_PORT", 5432),
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db=get_env_or_fail("PGVECTOR_DB"),
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user=get_env_or_fail("PGVECTOR_USER"),
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password=get_env_or_fail("PGVECTOR_PASSWORD"),
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).model_dump(),
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)
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],
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)
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@pytest.fixture(scope="session")
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def memory_weaviate() -> ProviderFixture:
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return ProviderFixture(
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providers=[
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Provider(
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provider_id="weaviate",
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provider_type="remote::weaviate",
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config=WeaviateConfig().model_dump(),
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)
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],
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provider_data=dict(
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weaviate_api_key=get_env_or_fail("WEAVIATE_API_KEY"),
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weaviate_cluster_url=get_env_or_fail("WEAVIATE_CLUSTER_URL"),
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),
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)
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MEMORY_FIXTURES = ["meta_reference", "pgvector", "weaviate", "remote"]
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@pytest_asyncio.fixture(scope="session")
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async def memory_stack(request):
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fixture_name = request.param
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fixture = request.getfixturevalue(f"memory_{fixture_name}")
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impls = await resolve_impls_for_test_v2(
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[Api.memory],
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{"memory": fixture.providers},
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fixture.provider_data,
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)
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return impls[Api.memory], impls[Api.memory_banks]
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