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21e1acb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | #!/usr/bin/env python3
"""Summarize Task-E pi0.5 eval logs."""
from __future__ import annotations
import argparse
from pathlib import Path
import re
import statistics
RESULT_RE = re.compile(r"\[RESULT\].*?score=([0-9.]+).*?steps=([0-9]+).*?done=(True|False)")
BASKET_RE = re.compile(r"\[BASKET\].*?(object_[123]): .*?inside=(True|False)")
def summarize(eval_dir: Path) -> int:
logs = sorted(eval_dir.glob("seed*.log"))
if not logs:
print(f"[ERROR] No seed*.log files found in {eval_dir}")
return 1
scores: list[float] = []
for log in logs:
text = log.read_text(errors="replace")
result = RESULT_RE.search(text)
baskets = BASKET_RE.findall(text)
if not result:
print(f"{log.name}: missing result")
continue
score = float(result.group(1))
steps = int(result.group(2))
done = result.group(3)
scores.append(score)
basket_text = ", ".join(f"{obj}={inside}" for obj, inside in baskets) if baskets else "basket=unknown"
print(f"{log.name}: score={score:.2f}, steps={steps}, done={done}, {basket_text}")
if scores:
print(
f"[SUMMARY] n={len(scores)} mean={statistics.fmean(scores):.2f} "
f"best={max(scores):.2f} min={min(scores):.2f}"
)
videos = sorted((eval_dir.parents[1] / "videos" / "task_e_pi05_eval").glob("*.mp4"))
if videos:
print(f"[VIDEO] latest={videos[-1]}")
return 0
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("eval_dir", type=Path)
return summarize(parser.parse_args().eval_dir)
if __name__ == "__main__":
raise SystemExit(main())
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