mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-10-26 17:23:00 +00:00
7c466a7ec5
Some checks failed
Integration Auth Tests / test-matrix (oauth2_token) (push) Failing after 1s
Test External Providers Installed via Module / test-external-providers-from-module (venv) (push) Has been skipped
SqlStore Integration Tests / test-postgres (3.12) (push) Failing after 5s
Vector IO Integration Tests / test-matrix (push) Failing after 4s
Test External API and Providers / test-external (venv) (push) Failing after 4s
Unit Tests / unit-tests (3.13) (push) Failing after 3s
SqlStore Integration Tests / test-postgres (3.13) (push) Failing after 21s
Python Package Build Test / build (3.12) (push) Failing after 20s
Python Package Build Test / build (3.13) (push) Failing after 25s
Unit Tests / unit-tests (3.12) (push) Failing after 25s
Integration Tests (Replay) / Integration Tests (, , , client=, ) (push) Failing after 28s
API Conformance Tests / check-schema-compatibility (push) Successful in 33s
UI Tests / ui-tests (22) (push) Successful in 58s
Pre-commit / pre-commit (push) Successful in 1m17s
# What does this PR do? the nvidia datastore tests were running when the datastore was not configured. they would always fail. this introduces a skip when the nvidia datastore is not configured. ## Test Plan ci
57 lines
1.9 KiB
Python
57 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.
|
|
|
|
|
|
import pytest
|
|
|
|
from . import skip_in_github_actions
|
|
|
|
# How to run this test:
|
|
#
|
|
# LLAMA_STACK_CONFIG="nvidia" pytest -v tests/integration/providers/nvidia/test_datastore.py
|
|
|
|
|
|
@pytest.fixture(autouse=True)
|
|
def skip_if_no_nvidia_provider(llama_stack_client):
|
|
provider_types = {p.provider_type for p in llama_stack_client.providers.list() if p.api == "datasetio"}
|
|
if "remote::nvidia" not in provider_types:
|
|
pytest.skip("datasetio=remote::nvidia provider not configured, skipping")
|
|
|
|
|
|
# nvidia provider only
|
|
@skip_in_github_actions
|
|
@pytest.mark.parametrize(
|
|
"provider_id",
|
|
[
|
|
"nvidia",
|
|
],
|
|
)
|
|
def test_register_and_unregister(llama_stack_client, provider_id):
|
|
purpose = "eval/messages-answer"
|
|
source = {
|
|
"type": "uri",
|
|
"uri": "hf://datasets/llamastack/simpleqa?split=train",
|
|
}
|
|
dataset_id = f"test-dataset-{provider_id}"
|
|
dataset = llama_stack_client.datasets.register(
|
|
dataset_id=dataset_id,
|
|
purpose=purpose,
|
|
source=source,
|
|
metadata={"provider_id": provider_id, "format": "json", "description": "Test dataset description"},
|
|
)
|
|
assert dataset.identifier is not None
|
|
assert dataset.provider_id == provider_id
|
|
assert dataset.identifier == dataset_id
|
|
|
|
dataset_list = llama_stack_client.datasets.list()
|
|
provider_datasets = [d for d in dataset_list if d.provider_id == provider_id]
|
|
assert any(provider_datasets)
|
|
assert any(d.identifier == dataset_id for d in provider_datasets)
|
|
|
|
llama_stack_client.datasets.unregister(dataset.identifier)
|
|
dataset_list = llama_stack_client.datasets.list()
|
|
provider_datasets = [d for d in dataset_list if d.identifier == dataset.identifier]
|
|
assert not any(provider_datasets)
|