feat(ci): add parse_eval_metrics step to benchmark workflow

Adds scripts/ci/parse_eval_metrics.py and wires it into both Libero and
MetaWorld jobs so the dashboard can read pc_success, avg_sum_reward and
eval_s from the metrics artifact instead of relying on GitHub step timing.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Pepijn
2026-04-09 10:04:30 +02:00
parent 0dd0a8f11a
commit 3534331fcc
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#!/usr/bin/env python3
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Parse lerobot-eval output into a small metrics.json artifact.
Reads eval_info.json written by lerobot-eval --output_dir and extracts the
key metrics needed by the health dashboard. Handles both single-task and
multi-task eval output formats.
Usage:
python scripts/ci/parse_eval_metrics.py \\
--artifacts-dir /tmp/libero-artifacts \\
--env libero \\
--task libero_spatial \\
--policy pepijn223/smolvla_libero
Writes <artifacts-dir>/metrics.json. The CI workflow then uploads this file
as a GitHub Actions artifact named "<env>-metrics".
"""
from __future__ import annotations
import argparse
import json
import math
import sys
from pathlib import Path
def _extract_metrics(info: dict) -> tuple[float | None, int | None, float | None, float | None]:
"""Extract (pc_success, n_episodes, avg_sum_reward, eval_s) from eval_info.json.
Handles two output shapes:
- Single-task: {"aggregated": {"pc_success": 80.0, ...}}
- Multi-task: {"overall": {"pc_success": 80.0, "n_episodes": 5, ...}}
"""
for key in ("aggregated", "overall"):
if key not in info:
continue
agg = info[key]
pc = agg.get("pc_success")
n = agg.get("n_episodes")
reward = agg.get("avg_sum_reward")
eval_s = agg.get("eval_s")
if pc is not None and not math.isnan(pc):
return (
float(pc),
int(n) if n is not None else None,
float(reward) if reward is not None else None,
float(eval_s) if eval_s is not None else None,
)
return None, None, None, None
def main() -> int:
parser = argparse.ArgumentParser(
description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
)
parser.add_argument("--artifacts-dir", required=True, help="Path to the mounted artifacts volume")
parser.add_argument("--env", required=True, help="Environment name (e.g. libero)")
parser.add_argument("--task", required=True, help="Task name (e.g. libero_spatial)")
parser.add_argument("--policy", required=True, help="Policy hub path (e.g. pepijn223/smolvla_libero)")
args = parser.parse_args()
artifacts_dir = Path(args.artifacts_dir)
eval_info_path = artifacts_dir / "eval_info.json"
pc_success: float | None = None
n_episodes: int | None = None
avg_sum_reward: float | None = None
eval_s: float | None = None
if eval_info_path.exists():
try:
info = json.loads(eval_info_path.read_text())
pc_success, n_episodes, avg_sum_reward, eval_s = _extract_metrics(info)
except (json.JSONDecodeError, KeyError, TypeError) as exc:
print(f"[parse_eval_metrics] Warning: could not parse eval_info.json: {exc}", file=sys.stderr)
else:
print(
f"[parse_eval_metrics] Warning: {eval_info_path} not found — eval may have failed.",
file=sys.stderr,
)
metrics = {
"env": args.env,
"task": args.task,
"policy": args.policy,
"pc_success": pc_success,
"n_episodes": n_episodes,
"avg_sum_reward": avg_sum_reward,
"eval_s": eval_s,
}
out_path = artifacts_dir / "metrics.json"
out_path.write_text(json.dumps(metrics, indent=2))
print(f"[parse_eval_metrics] Written: {out_path}")
print(json.dumps(metrics, indent=2))
return 0
if __name__ == "__main__":
sys.exit(main())