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fix(dataset tools draccus): fixing draccus parsing for dataset edit operation type specification (#2949)
* fix(edit dataset operation): fixing dataset tools CLI operation type specification * test(edit dataset operation): adding tests for dataset tools operation type specification * chore(format): running pre-commit * chore(backward compatibility): adding a type property in OperationConfig for backward compatibility Signed-off-by: Caroline Pascal <caroline8.pascal@gmail.com>
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@@ -109,11 +109,14 @@ Using JSON config file:
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--config_path path/to/edit_config.json
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"""
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import abc
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import logging
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import shutil
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from dataclasses import dataclass
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from pathlib import Path
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import draccus
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from lerobot.configs import parser
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from lerobot.datasets.dataset_tools import (
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convert_image_to_video_dataset,
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@@ -129,39 +132,46 @@ from lerobot.utils.utils import init_logging
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@dataclass
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class DeleteEpisodesConfig:
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type: str = "delete_episodes"
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class OperationConfig(draccus.ChoiceRegistry, abc.ABC):
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@property
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def type(self) -> str:
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return self.get_choice_name(self.__class__)
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@OperationConfig.register_subclass("delete_episodes")
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@dataclass
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class DeleteEpisodesConfig(OperationConfig):
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episode_indices: list[int] | None = None
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@OperationConfig.register_subclass("split")
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@dataclass
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class SplitConfig:
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type: str = "split"
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class SplitConfig(OperationConfig):
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splits: dict[str, float | list[int]] | None = None
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@OperationConfig.register_subclass("merge")
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@dataclass
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class MergeConfig:
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type: str = "merge"
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class MergeConfig(OperationConfig):
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repo_ids: list[str] | None = None
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@OperationConfig.register_subclass("remove_feature")
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@dataclass
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class RemoveFeatureConfig:
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type: str = "remove_feature"
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class RemoveFeatureConfig(OperationConfig):
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feature_names: list[str] | None = None
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@OperationConfig.register_subclass("modify_tasks")
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@dataclass
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class ModifyTasksConfig:
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type: str = "modify_tasks"
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class ModifyTasksConfig(OperationConfig):
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new_task: str | None = None
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episode_tasks: dict[str, str] | None = None
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@OperationConfig.register_subclass("convert_image_to_video")
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@dataclass
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class ConvertImageToVideoConfig:
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type: str = "convert_image_to_video"
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class ConvertImageToVideoConfig(OperationConfig):
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output_dir: str | None = None
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vcodec: str = "libsvtav1"
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pix_fmt: str = "yuv420p"
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@@ -177,14 +187,7 @@ class ConvertImageToVideoConfig:
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@dataclass
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class EditDatasetConfig:
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repo_id: str
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operation: (
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DeleteEpisodesConfig
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| SplitConfig
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| MergeConfig
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| RemoveFeatureConfig
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| ModifyTasksConfig
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| ConvertImageToVideoConfig
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)
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operation: OperationConfig
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root: str | None = None
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new_repo_id: str | None = None
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push_to_hub: bool = False
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@@ -450,10 +453,8 @@ def edit_dataset(cfg: EditDatasetConfig) -> None:
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elif operation_type == "convert_image_to_video":
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handle_convert_image_to_video(cfg)
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else:
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raise ValueError(
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f"Unknown operation type: {operation_type}\n"
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f"Available operations: delete_episodes, split, merge, remove_feature, modify_tasks, convert_image_to_video"
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)
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available = ", ".join(OperationConfig.get_known_choices())
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raise ValueError(f"Unknown operation: {operation_type}\nAvailable operations: {available}")
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def main() -> None:
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@@ -0,0 +1,71 @@
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#!/usr/bin/env python
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# Copyright 2026 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 draccus
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import pytest
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from lerobot.scripts.lerobot_edit_dataset import (
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ConvertImageToVideoConfig,
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DeleteEpisodesConfig,
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EditDatasetConfig,
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MergeConfig,
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ModifyTasksConfig,
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OperationConfig,
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RemoveFeatureConfig,
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SplitConfig,
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)
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def parse_cfg(cli_args: list[str]) -> EditDatasetConfig:
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"""Helper to parse CLI args into an EditDatasetConfig via draccus."""
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return draccus.parse(EditDatasetConfig, args=cli_args)
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class TestOperationTypeParsing:
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"""Test that --operation.type correctly selects the right config subclass."""
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@pytest.mark.parametrize(
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"type_name, expected_cls",
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[
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("delete_episodes", DeleteEpisodesConfig),
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("split", SplitConfig),
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("merge", MergeConfig),
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("remove_feature", RemoveFeatureConfig),
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("modify_tasks", ModifyTasksConfig),
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("convert_image_to_video", ConvertImageToVideoConfig),
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],
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)
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def test_operation_type_resolves_correct_class(self, type_name, expected_cls):
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cfg = parse_cfg(["--repo_id", "test/repo", "--operation.type", type_name])
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assert isinstance(cfg.operation, expected_cls), (
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f"Expected {expected_cls.__name__}, got {type(cfg.operation).__name__}"
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)
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@pytest.mark.parametrize(
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"type_name, expected_cls",
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[
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("delete_episodes", DeleteEpisodesConfig),
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("split", SplitConfig),
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("merge", MergeConfig),
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("remove_feature", RemoveFeatureConfig),
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("modify_tasks", ModifyTasksConfig),
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("convert_image_to_video", ConvertImageToVideoConfig),
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],
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)
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def test_get_choice_name_roundtrips(self, type_name, expected_cls):
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cfg = parse_cfg(["--repo_id", "test/repo", "--operation.type", type_name])
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resolved_name = OperationConfig.get_choice_name(type(cfg.operation))
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assert resolved_name == type_name
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