delete unused

llama_stack/providers/tests/datasetio/provider_config_example.yaml

@@ -1,4 +0,0 @@
-providers:
-  - provider_id: test-meta
-    provider_type: meta-reference
-    config: {}

llama_stack/providers/tests/datasetio/test_datasetio.py

@@ -97,6 +97,10 @@ class TestDatasetIO:
         assert len(response.rows) == 3
         assert response.next_page_token == "3"
 
+        provider = datasetio_impl.routing_table.get_provider_impl("test_dataset")
+        if provider.__provider_spec__.provider_type == "remote":
+            pytest.skip("remote provider doesn't support get_rows_paginated")
+
         # iterate over all rows
         response = await datasetio_impl.get_rows_paginated(
             dataset_id="test_dataset",

llama_stack/providers/tests/datasetio/test_datasetio_old.py

@@ -1,148 +0,0 @@
-# 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 os
-
-import pytest
-import pytest_asyncio
-
-from llama_stack.apis.common.type_system import *  # noqa: F403
-from llama_stack.apis.datasetio import *  # noqa: F403
-from llama_stack.distribution.datatypes import *  # noqa: F403
-import base64
-import mimetypes
-from pathlib import Path
-
-from llama_stack.providers.tests.resolver import resolve_impls_for_test
-
-# How to run this test:
-#
-# 1. Ensure you have a conda with the right dependencies installed. This is a bit tricky
-#    since it depends on the provider you are testing. On top of that you need
-#    `pytest` and `pytest-asyncio` installed.
-#
-# 2. Copy and modify the provider_config_example.yaml depending on the provider you are testing.
-#
-# 3. Run:
-#
-# ```bash
-# PROVIDER_ID=<your_provider> \
-#   PROVIDER_CONFIG=provider_config.yaml \
-#   pytest -s llama_stack/providers/tests/datasetio/test_datasetio.py \
-#   --tb=short --disable-warnings
-# ```
-
-
-@pytest_asyncio.fixture(scope="session")
-async def datasetio_settings():
-    impls = await resolve_impls_for_test(
-        Api.datasetio,
-    )
-    return {
-        "datasetio_impl": impls[Api.datasetio],
-        "datasets_impl": impls[Api.datasets],
-    }
-
-
-def data_url_from_file(file_path: str) -> str:
-    if not os.path.exists(file_path):
-        raise FileNotFoundError(f"File not found: {file_path}")
-
-    with open(file_path, "rb") as file:
-        file_content = file.read()
-
-    base64_content = base64.b64encode(file_content).decode("utf-8")
-    mime_type, _ = mimetypes.guess_type(file_path)
-
-    data_url = f"data:{mime_type};base64,{base64_content}"
-
-    return data_url
-
-
-async def register_dataset(
-    datasets_impl: Datasets, for_generation=False, dataset_id="test_dataset"
-):
-    test_file = Path(os.path.abspath(__file__)).parent / "test_dataset.csv"
-    test_url = data_url_from_file(str(test_file))
-
-    if for_generation:
-        dataset_schema = {
-            "expected_answer": StringType(),
-            "input_query": StringType(),
-            "chat_completion_input": ChatCompletionInputType(),
-        }
-    else:
-        dataset_schema = {
-            "expected_answer": StringType(),
-            "input_query": StringType(),
-            "generated_answer": StringType(),
-        }
-
-    dataset = DatasetDefWithProvider(
-        identifier=dataset_id,
-        provider_id=os.environ.get("DATASETIO_PROVIDER_ID", None)
-        or os.environ["PROVIDER_ID"],
-        url=URL(
-            uri=test_url,
-        ),
-        dataset_schema=dataset_schema,
-    )
-    await datasets_impl.register_dataset(dataset)
-
-
-@pytest.mark.asyncio
-async def test_datasets_list(datasetio_settings):
-    # NOTE: this needs you to ensure that you are starting from a clean state
-    # but so far we don't have an unregister API unfortunately, so be careful
-    datasets_impl = datasetio_settings["datasets_impl"]
-    response = await datasets_impl.list_datasets()
-    assert isinstance(response, list)
-    assert len(response) == 0
-
-
-@pytest.mark.asyncio
-async def test_datasets_register(datasetio_settings):
-    # NOTE: this needs you to ensure that you are starting from a clean state
-    # but so far we don't have an unregister API unfortunately, so be careful
-    datasets_impl = datasetio_settings["datasets_impl"]
-    await register_dataset(datasets_impl)
-
-    response = await datasets_impl.list_datasets()
-    assert isinstance(response, list)
-    assert len(response) == 1
-
-    # register same dataset with same id again will fail
-    await register_dataset(datasets_impl)
-    response = await datasets_impl.list_datasets()
-    assert isinstance(response, list)
-    assert len(response) == 1
-    assert response[0].identifier == "test_dataset"
-
-
-@pytest.mark.asyncio
-async def test_get_rows_paginated(datasetio_settings):
-    datasetio_impl = datasetio_settings["datasetio_impl"]
-    datasets_impl = datasetio_settings["datasets_impl"]
-    await register_dataset(datasets_impl)
-
-    response = await datasetio_impl.get_rows_paginated(
-        dataset_id="test_dataset",
-        rows_in_page=3,
-    )
-
-    assert isinstance(response.rows, list)
-    assert len(response.rows) == 3
-    assert response.next_page_token == "3"
-
-    # iterate over all rows
-    response = await datasetio_impl.get_rows_paginated(
-        dataset_id="test_dataset",
-        rows_in_page=2,
-        page_token=response.next_page_token,
-    )
-
-    assert isinstance(response.rows, list)
-    assert len(response.rows) == 2
-    assert response.next_page_token == "5"