forked from phoenix-oss/llama-stack-mirror
[Evals API][10/n] API updates for EvalTaskDef + new test migration (#379)
* wip * scoring fn api * eval api * eval task * evaluate api update * pre commit * unwrap context -> config * config field doc * typo * naming fix * separate benchmark / app eval * api name * rename * wip tests * wip * datasetio test * delete unused * fixture * scoring resolve * fix scoring register * scoring test pass * score batch * scoring fix * fix eval * test eval works * remove type ignore * api refactor * add default task_eval_id for routing * add eval_id for jobs * remove type ignore * only keep 1 run_eval * fix optional * register task required * register task required * delete old tests * delete old tests * fixture return impl
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Xi Yan
GitHub
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32 changed files with 916 additions and 389 deletions
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@ -3,11 +3,10 @@
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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 pytest
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import pytest_asyncio
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from llama_stack.apis.common.type_system import * # noqa: F403
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from llama_stack.apis.datasetio import * # noqa: F403
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from llama_stack.distribution.datatypes import * # noqa: F403
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@ -15,35 +14,11 @@ import base64
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import mimetypes
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from pathlib import Path
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from llama_stack.providers.tests.resolver import resolve_impls_for_test
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# How to run this test:
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#
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# 1. Ensure you have a conda with the right dependencies installed. This is a bit tricky
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# since it depends on the provider you are testing. On top of that you need
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# `pytest` and `pytest-asyncio` installed.
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#
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# 2. Copy and modify the provider_config_example.yaml depending on the provider you are testing.
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#
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# 3. Run:
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#
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# ```bash
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# PROVIDER_ID=<your_provider> \
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# PROVIDER_CONFIG=provider_config.yaml \
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# pytest -s llama_stack/providers/tests/datasetio/test_datasetio.py \
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# --tb=short --disable-warnings
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# ```
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@pytest_asyncio.fixture(scope="session")
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async def datasetio_settings():
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impls = await resolve_impls_for_test(
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Api.datasetio,
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)
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return {
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"datasetio_impl": impls[Api.datasetio],
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"datasets_impl": impls[Api.datasets],
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}
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# pytest llama_stack/providers/tests/datasetio/test_datasetio.py
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# -m "meta_reference"
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# -v -s --tb=short --disable-warnings
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def data_url_from_file(file_path: str) -> str:
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@ -82,8 +57,7 @@ async def register_dataset(
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dataset = DatasetDefWithProvider(
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identifier=dataset_id,
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provider_id=os.environ.get("DATASETIO_PROVIDER_ID", None)
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or os.environ["PROVIDER_ID"],
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provider_id="",
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url=URL(
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uri=test_url,
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),
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@ -92,57 +66,47 @@ async def register_dataset(
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await datasets_impl.register_dataset(dataset)
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@pytest.mark.asyncio
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async def test_datasets_list(datasetio_settings):
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# NOTE: this needs you to ensure that you are starting from a clean state
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# but so far we don't have an unregister API unfortunately, so be careful
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datasets_impl = datasetio_settings["datasets_impl"]
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response = await datasets_impl.list_datasets()
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assert isinstance(response, list)
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assert len(response) == 0
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class TestDatasetIO:
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@pytest.mark.asyncio
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async def test_datasets_list(self, datasetio_stack):
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# NOTE: this needs you to ensure that you are starting from a clean state
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# but so far we don't have an unregister API unfortunately, so be careful
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_, datasets_impl = datasetio_stack
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response = await datasets_impl.list_datasets()
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assert isinstance(response, list)
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assert len(response) == 0
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@pytest.mark.asyncio
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async def test_register_dataset(self, datasetio_stack):
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_, datasets_impl = datasetio_stack
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await register_dataset(datasets_impl)
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response = await datasets_impl.list_datasets()
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assert isinstance(response, list)
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assert len(response) == 1
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assert response[0].identifier == "test_dataset"
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@pytest.mark.asyncio
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async def test_datasets_register(datasetio_settings):
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# NOTE: this needs you to ensure that you are starting from a clean state
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# but so far we don't have an unregister API unfortunately, so be careful
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datasets_impl = datasetio_settings["datasets_impl"]
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await register_dataset(datasets_impl)
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@pytest.mark.asyncio
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async def test_get_rows_paginated(self, datasetio_stack):
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datasetio_impl, datasets_impl = datasetio_stack
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await register_dataset(datasets_impl)
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response = await datasetio_impl.get_rows_paginated(
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dataset_id="test_dataset",
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rows_in_page=3,
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)
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assert isinstance(response.rows, list)
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assert len(response.rows) == 3
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assert response.next_page_token == "3"
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response = await datasets_impl.list_datasets()
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assert isinstance(response, list)
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assert len(response) == 1
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provider = datasetio_impl.routing_table.get_provider_impl("test_dataset")
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if provider.__provider_spec__.provider_type == "remote":
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pytest.skip("remote provider doesn't support get_rows_paginated")
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# register same dataset with same id again will fail
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await register_dataset(datasets_impl)
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response = await datasets_impl.list_datasets()
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assert isinstance(response, list)
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assert len(response) == 1
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assert response[0].identifier == "test_dataset"
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@pytest.mark.asyncio
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async def test_get_rows_paginated(datasetio_settings):
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datasetio_impl = datasetio_settings["datasetio_impl"]
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datasets_impl = datasetio_settings["datasets_impl"]
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await register_dataset(datasets_impl)
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response = await datasetio_impl.get_rows_paginated(
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dataset_id="test_dataset",
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rows_in_page=3,
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)
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assert isinstance(response.rows, list)
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assert len(response.rows) == 3
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assert response.next_page_token == "3"
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# iterate over all rows
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response = await datasetio_impl.get_rows_paginated(
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dataset_id="test_dataset",
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rows_in_page=2,
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page_token=response.next_page_token,
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)
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assert isinstance(response.rows, list)
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assert len(response.rows) == 2
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assert response.next_page_token == "5"
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# iterate over all rows
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response = await datasetio_impl.get_rows_paginated(
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dataset_id="test_dataset",
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rows_in_page=2,
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page_token=response.next_page_token,
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)
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assert isinstance(response.rows, list)
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assert len(response.rows) == 2
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assert response.next_page_token == "5"
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