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tests(annotations): guard on the 'dataset' extra so base fast-test tier skips cleanly
Fast Pytest Tests failed at COLLECTION in the base '--extra test' tier
with 'ModuleNotFoundError: No module named datasets': tests/annotations/
conftest.py imported the fixture dataset builder (-> lerobot.datasets ->
the HF 'datasets' lib + pandas/pyarrow), which only ship under the
'dataset' extra, so the whole annotations package crashed.
Fix uses the repo's proven module-level guard pattern (see
tests/datasets/test_language.py), NOT a conftest-level importorskip —
verified empirically that pytest.importorskip raised during conftest
*import* is treated as a collection ERROR (exit 1), while module-level
importorskip is a clean SKIP.
* conftest.py: import build_annotation_dataset LAZILY inside the
fixtures so the conftest itself imports cleanly in every tier.
* test_modules / test_validator / test_writer / test_pipeline_recipe_
render: add module-level pytest.importorskip('datasets') +
('pandas') before the pyarrow / lerobot.* imports (# noqa: E402 to
match the existing convention). pyarrow-importing modules place the
guard before the pyarrow import.
* tests/scripts/test_lerobot_annotate.py: same guard (its _push_to_hub
path imports lerobot.datasets).
Result:
- base / hardware / viz tiers (no dataset extra): annotation tests
skip cleanly; the rest of the suite runs -> exit 0.
- dataset tier: datasets present -> guards pass through -> annotation
tests run with the stub VLM. The pipeline modules import only
stdlib + relative + lerobot.datasets (no module-level datatrove /
vllm / openai), so they import fine there.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -26,12 +26,20 @@ from pathlib import Path
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import pytest
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from tests.fixtures.dataset_factories import build_annotation_dataset
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# NOTE: ``build_annotation_dataset`` pulls in ``lerobot.datasets`` (-> the HF
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# ``datasets`` library + ``pandas``), which only ship under the ``dataset``
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# extra. It is imported LAZILY inside the fixtures below so this conftest
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# imports cleanly in dependency tiers without that extra (e.g. the base
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# ``--extra test`` fast-test tier). The annotation test modules guard
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# themselves with a module-level ``pytest.importorskip("datasets")`` so
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# their collection is skipped — never erroring — when the extra is absent.
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@pytest.fixture
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def fixture_dataset_root(tmp_path: Path) -> Path:
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"""A tiny dataset with two episodes, 12 frames each at 10 fps."""
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from tests.fixtures.dataset_factories import build_annotation_dataset
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return build_annotation_dataset(
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tmp_path / "ds",
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episode_specs=[
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@@ -44,6 +52,8 @@ def fixture_dataset_root(tmp_path: Path) -> Path:
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@pytest.fixture
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def single_episode_root(tmp_path: Path) -> Path:
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from tests.fixtures.dataset_factories import build_annotation_dataset
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return build_annotation_dataset(
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tmp_path / "ds_one",
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episode_specs=[(0, 30, "Pour water from the bottle into the cup.")],
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