llama-stack-mirror/tests/client-sdk/post_training/test_supervised_fine_tuning.py
2025-03-26 14:46:20 +05:30

41 lines
1.5 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
POST_TRAINING_PROVIDER_TYPES = ["remote::nvidia"]
@pytest.fixture(scope="session")
def post_training_provider_available(llama_stack_client):
providers = llama_stack_client.providers.list()
post_training_providers = [p for p in providers if p.provider_type in POST_TRAINING_PROVIDER_TYPES]
return len(post_training_providers) > 0
def test_post_training_provider_registration(llama_stack_client, post_training_provider_available):
"""Check if post_training is in the api list.
This is a sanity check to ensure the provider is registered."""
if not post_training_provider_available:
pytest.skip("post training provider not available")
providers = llama_stack_client.providers.list()
post_training_providers = [p for p in providers if p.provider_type in POST_TRAINING_PROVIDER_TYPES]
assert len(post_training_providers) > 0
assert any("post_training" in provider.api for provider in post_training_providers)
def test_list_training_jobs(llama_stack_client, post_training_provider_available):
"""Check if the list_jobs method returns a list of jobs."""
if not post_training_provider_available:
pytest.skip("post training provider not available")
jobs = llama_stack_client.post_training.job.list()
assert jobs is not None
assert isinstance(jobs, list)