mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
76 lines
2.2 KiB
Python
76 lines
2.2 KiB
Python
"""Test Xinference embeddings."""
|
|
|
|
import time
|
|
from typing import AsyncGenerator, Tuple
|
|
|
|
import pytest_asyncio
|
|
|
|
from langchain_community.embeddings import XinferenceEmbeddings
|
|
|
|
|
|
@pytest_asyncio.fixture
|
|
async def setup() -> AsyncGenerator[Tuple[str, str], None]:
|
|
import xoscar as xo
|
|
from xinference.deploy.supervisor import start_supervisor_components
|
|
from xinference.deploy.utils import create_worker_actor_pool
|
|
from xinference.deploy.worker import start_worker_components
|
|
|
|
pool = await create_worker_actor_pool(
|
|
f"test://127.0.0.1:{xo.utils.get_next_port()}"
|
|
)
|
|
print(f"Pool running on localhost:{pool.external_address}") # noqa: T201
|
|
|
|
endpoint = await start_supervisor_components(
|
|
pool.external_address, "127.0.0.1", xo.utils.get_next_port()
|
|
)
|
|
await start_worker_components(
|
|
address=pool.external_address, supervisor_address=pool.external_address
|
|
)
|
|
|
|
# wait for the api.
|
|
time.sleep(3)
|
|
async with pool:
|
|
yield endpoint, pool.external_address
|
|
|
|
|
|
def test_xinference_embedding_documents(setup: Tuple[str, str]) -> None:
|
|
"""Test xinference embeddings for documents."""
|
|
from xinference.client import RESTfulClient
|
|
|
|
endpoint, _ = setup
|
|
|
|
client = RESTfulClient(endpoint)
|
|
|
|
model_uid = client.launch_model(
|
|
model_name="vicuna-v1.3",
|
|
model_size_in_billions=7,
|
|
model_format="ggmlv3",
|
|
quantization="q4_0",
|
|
)
|
|
|
|
xinference = XinferenceEmbeddings(server_url=endpoint, model_uid=model_uid)
|
|
|
|
documents = ["foo bar", "bar foo"]
|
|
output = xinference.embed_documents(documents)
|
|
assert len(output) == 2
|
|
assert len(output[0]) == 4096
|
|
|
|
|
|
def test_xinference_embedding_query(setup: Tuple[str, str]) -> None:
|
|
"""Test xinference embeddings for query."""
|
|
from xinference.client import RESTfulClient
|
|
|
|
endpoint, _ = setup
|
|
|
|
client = RESTfulClient(endpoint)
|
|
|
|
model_uid = client.launch_model(
|
|
model_name="vicuna-v1.3", model_size_in_billions=7, quantization="q4_0"
|
|
)
|
|
|
|
xinference = XinferenceEmbeddings(server_url=endpoint, model_uid=model_uid)
|
|
|
|
document = "foo bar"
|
|
output = xinference.embed_query(document)
|
|
assert len(output) == 4096
|