mirror of
https://github.com/huggingface/lerobot.git
synced 2026-05-19 10:40:04 +00:00
fd18beb3a1
- name the three modules everywhere (plan / interjections / vqa) instead of module_1/2/3 — config classes, config fields, executor params, staging keys and phase names now carry the module name - rename examples/annotation -> examples/annotations; add the Apache header to run_hf_job.py - drop the unused GeneralVqaModule._generate_one - remove "PR 1" references from comments/docstrings - frames.py: rely on the always-defined LeRobotDatasetMetadata.camera_keys - executor.py: read/write meta/info.json via load_info / write_info - reader.py: load meta/tasks.parquet via io_utils.load_tasks - make --push_to_hub a bool; push the annotated dataset back to --repo_id - move the on-disk test dataset builder into tests/fixtures (build_annotation_dataset); run_e2e_smoke reuses it - clarify in the docs that the vqa module grounds each pair on a single frame (K = per-tick anchor count) - hoist stdlib dynamic imports to module scope Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
126 lines
4.2 KiB
Python
126 lines
4.2 KiB
Python
#!/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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"""Validator behavior tests."""
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from __future__ import annotations
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import json
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from pathlib import Path
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from lerobot.annotations.steerable_pipeline.reader import iter_episodes
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from lerobot.annotations.steerable_pipeline.staging import EpisodeStaging
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from lerobot.annotations.steerable_pipeline.validator import StagingValidator
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from lerobot.annotations.steerable_pipeline.writer import speech_atom
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def _validate(root: Path, staging_dir: Path):
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records = list(iter_episodes(root))
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return StagingValidator().validate(records, staging_dir)
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def test_validator_catches_misaligned_timestamps(fixture_dataset_root: Path, tmp_path: Path) -> None:
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staging_dir = tmp_path / "stage"
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EpisodeStaging(staging_dir, 0).write(
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"vqa",
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[
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{
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"role": "assistant",
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"content": json.dumps({"label": "cup", "count": 2}, sort_keys=True),
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"style": "vqa",
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"timestamp": 9.999, # not on any 10 fps frame
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"tool_calls": None,
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}
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],
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)
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report = _validate(fixture_dataset_root, staging_dir)
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assert not report.ok
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assert any("does not match any source frame timestamp" in e for e in report.errors)
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def test_validator_catches_orphan_speech(fixture_dataset_root: Path, tmp_path: Path) -> None:
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staging_dir = tmp_path / "stage"
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EpisodeStaging(staging_dir, 0).write(
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"interjections",
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[
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speech_atom(0.0, "Got it."),
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# interjection at 0.3s with NO paired speech
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{
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"role": "user",
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"content": "skip it",
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"style": "interjection",
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"timestamp": 0.3,
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"tool_calls": None,
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},
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],
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)
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report = _validate(fixture_dataset_root, staging_dir)
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assert not report.ok
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assert any("paired speech" in e for e in report.errors)
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def test_validator_catches_inconsistent_plan_memory(fixture_dataset_root: Path, tmp_path: Path) -> None:
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staging_dir = tmp_path / "stage"
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EpisodeStaging(staging_dir, 0).write(
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"plan",
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[
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{
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"role": "assistant",
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"content": "1. do x",
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"style": "plan",
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"timestamp": 0.0,
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"tool_calls": None,
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},
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{
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"role": "assistant",
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"content": "do x",
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"style": "subtask",
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"timestamp": 0.0,
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"tool_calls": None,
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},
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],
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)
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EpisodeStaging(staging_dir, 0).write(
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"interjections",
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[
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speech_atom(0.0, "Got it."),
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speech_atom(0.4, "Replanning."),
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{
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"role": "user",
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"content": "replan",
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"style": "interjection",
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"timestamp": 0.4,
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"tool_calls": None,
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},
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],
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)
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report = _validate(fixture_dataset_root, staging_dir)
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# missing co-timestamped plan refresh at 0.4s → error
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assert not report.ok
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assert any("co-timestamped plan update" in e for e in report.errors)
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def test_validator_catches_wrong_column(fixture_dataset_root: Path, tmp_path: Path) -> None:
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staging_dir = tmp_path / "stage"
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EpisodeStaging(staging_dir, 0).write(
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"plan",
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[
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{"role": "user", "content": "where?", "style": "vqa", "timestamp": 0.0, "tool_calls": None},
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],
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)
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report = _validate(fixture_dataset_root, staging_dir)
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assert not report.ok
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assert any("plan emitted style 'vqa'" in e or "must be persistent" in e for e in report.errors)
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