Files
lerobot-clone/tests/scripts/test_lerobot_annotate.py
Pepijn eba3ab3741 annotate: address review feedback — bug fixes, docs/code drift, naming, cleanup
Bugs
  * validator: don't re-raise on unknown style. The second column_for_style
    lookup (used to route persistent vs event) now sits in try/except so an
    unknown style is recorded by _check_column_routing and skipped instead
    of crashing the whole validation pass.
  * general_vqa._target_cameras: when restrict_to_default_camera is set but
    the configured camera_key isn't one the provider exposes, warn and fall
    back to all cameras instead of returning a phantom key that KeyErrors
    deep in frame decode.
  * interjections: clamp interjection timestamps to frame_timestamps[0]
    rather than a hardcoded 0.0 (datasets can start at non-zero t).

Docs / code drift
  * annotation_pipeline.mdx: drop the phantom 'vocabulary discovery / phase
    0 / --vocabulary.* / canonical_vocabulary.json' section (none of it
    exists); describe the real describe->segment + coverage-stitch flow.
    Soften the src/lerobot/tools/ + TOOL_REGISTRY reference to 'not part of
    this PR' (matches tools.mdx, which already marks the runtime layer as
    not-yet-implemented). Fix the --push_to_hub/--new_repo_id wording. Note
    the default is now a single h200. Add a 'Contributing new modules'
    section inviting module / prompt / quality contributions.
  * executor docstring: six phases, no phantom phase 0.

run_hf_job.py
  * add the Apache 2.0 license header (was flagged repeatedly).
  * default to a single GPU: flavor=h200, parallel_servers=1, num_gpus=1
    (scale to h200x4 noted in the docstring).
  * pin the install to @main instead of the feature branch (won't break
    after merge).

Naming / cleanup
  * rename dest_repo_id -> new_repo_id across config / script / example /
    test to match the LeRobot dataset edit tools.
  * rename prompt templates module_N_*.txt -> descriptive (plan_*,
    interjections_*, vqa.txt) and update every load_prompt() call.
  * remove dead _messages_to_prompt (used only by the removed in-process
    backends).
  * declare _warned_decode_fail (frames) and _warned_no_camera (vqa) as
    real init=False dataclass fields instead of getattr monkey-patches.
  * scope bandit B607 to the two ffmpeg subprocess.run sites via
    '# nosec B607' and drop it from the global skip list.

Tests
  * fix stale canned-VLM markers ('ONE realistic interruption' ->
    'compact interjection', 'Update the memory' -> 'compressed semantic
    memory') and drop the dead 'concise hierarchical PLAN' plan responders
    (plan generation is deterministic now) in run_e2e_smoke,
    test_pipeline_recipe_render, test_modules.
  * run_e2e_smoke now asserts interjection + speech rows are produced so a
    stale marker can't silently pass again.
  * drop remaining 'PR 1' / 'PR 2' references from test comments / names.

Verified: tests/annotations + tests/datasets/test_language +
tests/scripts/test_lerobot_annotate (31 passed); make-style E2E smoke
(interjections=1 speech_atoms=2); pre-commit (ruff, mypy, bandit,
prettier) clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-03 18:30:46 +02:00

59 lines
1.7 KiB
Python

#!/usr/bin/env python
import json
from types import SimpleNamespace
import pytest
# ``lerobot.scripts.lerobot_annotate`` (and the ``_push_to_hub`` path it
# exercises) imports ``lerobot.datasets``, which only ships under the
# ``dataset`` extra. Skip in tiers without it instead of erroring.
pytest.importorskip("datasets", reason="datasets is required (install lerobot[dataset])")
def test_push_to_hub_tags_uploaded_dataset_revision(tmp_path, monkeypatch):
from lerobot.scripts.lerobot_annotate import _push_to_hub
root = tmp_path / "dataset"
(root / "meta").mkdir(parents=True)
(root / "meta" / "info.json").write_text(json.dumps({"codebase_version": "v3.0"}))
calls = {}
class FakeHfApi:
def create_repo(self, **kwargs):
calls["create_repo"] = kwargs
def upload_folder(self, **kwargs):
calls["upload_folder"] = kwargs
return SimpleNamespace(oid="abc123")
def create_tag(self, **kwargs):
calls["create_tag"] = kwargs
monkeypatch.setattr("huggingface_hub.HfApi", FakeHfApi)
cfg = SimpleNamespace(
repo_id="source/dataset",
new_repo_id="annotated/dataset",
push_private=True,
push_commit_message=None,
)
_push_to_hub(root, cfg)
assert calls["create_repo"] == {
"repo_id": "annotated/dataset",
"repo_type": "dataset",
"private": True,
"exist_ok": True,
}
assert calls["upload_folder"]["repo_id"] == "annotated/dataset"
assert calls["create_tag"] == {
"repo_id": "annotated/dataset",
"tag": "v3.0",
"repo_type": "dataset",
"exist_ok": True,
"revision": "abc123",
}