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https://github.com/huggingface/lerobot.git
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5ff3b25c39
The fast test env installs base deps only, so require_package('datasets')
raised ImportError before the mocked lerobot.datasets import was reached.
Monkeypatch the guard to a no-op so the unit test exercises the upload logic.
70 lines
2.7 KiB
Python
70 lines
2.7 KiB
Python
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import sys
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from unittest.mock import MagicMock
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import pytest
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from lerobot.jobs.dataset import ensure_dataset_available
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def _api_with_dataset(exists: bool):
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api = MagicMock()
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api.repo_exists.return_value = exists
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return api
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def _make_local_cache(tmp_path, repo_id: str) -> None:
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"""Create the minimal local-cache layout that ensure_dataset_available checks."""
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info = tmp_path / repo_id / "meta" / "info.json"
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info.parent.mkdir(parents=True)
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info.write_text("{}")
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# Branch 1: dataset already on Hub → no push, no error (pod downloads by repo_id).
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def test_dataset_already_on_hub_is_noop():
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api = _api_with_dataset(True)
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assert ensure_dataset_available("user/ds", api=api) is None
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api.repo_exists.assert_called_once_with("user/ds", repo_type="dataset")
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# Branch 2: not on Hub but present locally → always push privately.
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def test_dataset_local_only_uploads_privately(tmp_path, monkeypatch):
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monkeypatch.setattr("lerobot.jobs.dataset.HF_LEROBOT_HOME", tmp_path)
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_make_local_cache(tmp_path, "user/ds")
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api = _api_with_dataset(False)
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mock_ds_cls = MagicMock()
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fake_datasets_module = MagicMock()
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fake_datasets_module.LeRobotDataset = mock_ds_cls
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monkeypatch.setitem(sys.modules, "lerobot.datasets", fake_datasets_module)
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# The `datasets` extra isn't installed in the base test env; skip the import guard.
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monkeypatch.setattr("lerobot.jobs.dataset.require_package", lambda *a, **k: None)
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assert ensure_dataset_available("user/ds", api=api, tags=["lerobot", "lelab"]) is None
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mock_ds_cls.assert_called_once_with("user/ds")
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mock_ds_cls.return_value.push_to_hub.assert_called_once_with(private=True, tags=["lerobot", "lelab"])
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# Branch 3: not on Hub, NOT in local cache → RuntimeError.
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def test_dataset_neither_on_hub_nor_local_raises(tmp_path, monkeypatch):
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monkeypatch.setattr("lerobot.jobs.dataset.HF_LEROBOT_HOME", tmp_path)
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# tmp_path is empty — no local cache.
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api = _api_with_dataset(False)
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with pytest.raises(RuntimeError, match="not in the local cache"):
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ensure_dataset_available("user/ds", api=api)
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