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fix(egosuite): validate label report envelope #364

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19 changes: 18 additions & 1 deletion examples/egosuite_evaluation/evaluate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -65,6 +65,7 @@
)

SCHEMA_VERSION = 1
PROJECTED_HAND_LABEL_TYPE = "projected-hand-joints"
EXPECTED_HAND_JOINT_COUNT = 21
DEFAULT_RUNS_DIRECTORY = Path("data/egosuite-evaluation/runs")
DEFAULT_LABELS_DIRECTORY = Path("data/egosuite-evaluation/labels")
Expand Down Expand Up @@ -151,6 +152,22 @@ def load_projected_hand_label_report(
) from error
if not isinstance(report_payload, dict):
raise ValueError(f"projected-hand label report {report_path} must contain a JSON object")
schema_version = report_payload.get("schema_version")
if (
not isinstance(schema_version, int)
or isinstance(schema_version, bool)
or schema_version != SCHEMA_VERSION

@chatgpt-codex-connector chatgpt-codex-connector Bot Sep 2, 2026

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P1 Badge Preserve unknown label-report envelope versions

When a label report comes from a newer producer with an unknown schema version, this exact-version check raises during pipeline.py module initialization, preventing the pipeline from starting. The repository's forward-compatibility guidance requires unknown values to retain their raw representation in an explicit Unknown* variant, emit a warning, and be ignored gracefully rather than raising, so handle future versions through that path while still rejecting malformed known values.

AGENTS.md reference: AGENTS.md:L1-L1

Useful? React with 👍 / 👎.

):
raise ValueError(
f"projected-hand label report {report_path} field 'schema_version' has value "
f"{schema_version!r}; supported value is {SCHEMA_VERSION}"
)
label_type = report_payload.get("label_type")
if not isinstance(label_type, str) or label_type != PROJECTED_HAND_LABEL_TYPE:
raise ValueError(
f"projected-hand label report {report_path} field 'label_type' has value "
f"{label_type!r}; supported value is {PROJECTED_HAND_LABEL_TYPE!r}"
)
raw_frame_records = report_payload.get("frames")
if not isinstance(raw_frame_records, list):
raise ValueError(f"projected-hand label report {report_path} must contain a 'frames' array")
Expand Down Expand Up @@ -889,7 +906,7 @@ def write_label_report(
all_labels = [label for labels in labels_by_source.values() for label in labels]
report = {
"schema_version": SCHEMA_VERSION,
"label_type": "projected-hand-joints",
"label_type": PROJECTED_HAND_LABEL_TYPE,
"camera_view": camera_view.value,
"frame_stride": frame_stride,
"limit_per_episode": limit_per_episode,
Expand Down
116 changes: 98 additions & 18 deletions examples/egosuite_evaluation/tests/test_evaluation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,7 @@
select_episode_paths,
select_stratified_labels,
summarize_evaluation_results,
write_label_report,
)
from examples.egosuite_evaluation.geometry import (
CameraPoseInWorld,
Expand Down Expand Up @@ -268,25 +269,30 @@ def test_pipeline_registers_projected_hand_visibility_as_an_hflow_check() -> Non
def test_saved_label_report_selects_exact_frames_for_a_canonical_episode(tmp_path: Path) -> None:
source_path = tmp_path / "episode-123.mcap"
report_path = tmp_path / "labels.json"
report_path.write_text(
json.dumps(
{
"frames": [
{
"source_path": str(source_path),
"source_episode": "episode-123",
"camera_view": "head-left",
"frame_index": frame_index,
"left_in_frame_joint_count": 21,
"right_in_frame_joint_count": 21 if frame_index == 8 else 0,
"expected_hand_count": 2 if frame_index == 8 else 1,
"left_hand_issue_reasons": [],
"right_hand_issue_reasons": ["occlusion"] if frame_index == 8 else [],
}
for frame_index in (8, 3)
]
}
labels = [
ProjectedHandFrameLabel(
source_path=source_path,
source_episode="episode-123",
camera_view=CameraView.HEAD_LEFT,
frame_index=frame_index,
left_in_frame_joint_count=21,
right_in_frame_joint_count=21 if frame_index == 8 else 0,
expected_hand_count=2 if frame_index == 8 else 1,
left_hand_issue_reasons=(),
right_hand_issue_reasons=("occlusion",) if frame_index == 8 else (),
)
for frame_index in (8, 3)
]
write_label_report(
{source_path: labels},
camera_view=CameraView.HEAD_LEFT,
frame_stride=30,
limit_per_episode=None,
episode_count=None,
samples_per_episode=None,
samples_per_hand_count=None,
sample_seed=42,
output_path=report_path,
)

labels_by_source_episode = load_projected_hand_label_report(report_path)
Expand All @@ -299,6 +305,80 @@ def test_saved_label_report_selects_exact_frames_for_a_canonical_episode(tmp_pat
assert selected_labels[1].right_hand_issue_reasons == ("occlusion",)


@pytest.mark.parametrize(
("envelope", "field_name", "found_value", "supported_value"),
[
pytest.param(
{"label_type": "projected-hand-joints"},
"schema_version",
"None",
"1",
id="missing-schema-version",
),
pytest.param(
{"schema_version": "1", "label_type": "projected-hand-joints"},
"schema_version",
"'1'",
"1",
id="non-integer-schema-version",
),
pytest.param(
{"schema_version": 0, "label_type": "projected-hand-joints"},
"schema_version",
"0",
"1",
id="older-schema-version",
),
pytest.param(
{"schema_version": 2, "label_type": "projected-hand-joints"},
"schema_version",
"2",
"1",
id="future-schema-version",
),
pytest.param(
{"schema_version": 1},
"label_type",
"None",
"'projected-hand-joints'",
id="missing-label-type",
),
pytest.param(
{"schema_version": 1, "label_type": 1},
"label_type",
"1",
"'projected-hand-joints'",
id="non-string-label-type",
),
pytest.param(
{"schema_version": 1, "label_type": "bounding-boxes"},
"label_type",
"'bounding-boxes'",
"'projected-hand-joints'",
id="unsupported-label-type",
),
],
)
def test_saved_label_report_rejects_unsupported_envelope_before_frames(
tmp_path: Path,
envelope: dict[str, object],
field_name: str,
found_value: str,
supported_value: str,
) -> None:
report_path = tmp_path / "labels.json"
report_path.write_text(json.dumps({**envelope, "frames": [None]}))

with pytest.raises(ValueError) as error:
load_projected_hand_label_report(report_path)

message = str(error.value)
assert str(report_path) in message
assert repr(field_name) in message
assert f"value {found_value}" in message
assert f"supported value is {supported_value}" in message


def test_pipeline_records_agreement_output_validity_and_frame_intervals() -> None:
source_path = Path("episode.mcap")
labels = [
Expand Down
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