File size: 2,217 Bytes
a4326d6 | 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 57 58 59 60 61 62 63 64 | #!/usr/bin/env python3
"""Resolve the locked CycleGate result table to Soft RadGraph pair inputs."""
from __future__ import annotations
import argparse
import csv
import json
import re
from pathlib import Path
def existing_path(raw: str) -> Path:
path = Path(raw)
if path.exists():
return path
alias = Path(str(path).replace("/opt/dlami/nvme/report", "/data1/report"))
if alias.exists():
return alias
raise FileNotFoundError(path)
def slug(value: str) -> str:
return re.sub(r"[^a-z0-9]+", "_", value.lower()).strip("_")
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--full-results", required=True, type=Path)
parser.add_argument("--output-csv", required=True, type=Path)
args = parser.parse_args()
payload = json.loads(args.full_results.read_text(encoding="utf-8"))
rows = []
for result in payload["report_rows"]:
aggregate_path = existing_path(result["source"])
aggregate = json.loads(aggregate_path.read_text(encoding="utf-8"))
pairs_path = existing_path(aggregate["pairs_csv"])
if int(aggregate["rows"]) != 4394:
raise ValueError(f"unexpected CycleGate row count in {aggregate_path}")
aligned = aggregate["aligned_overall"]
rows.append({
"model_id": slug(result["model"]),
"model": result["model"],
"pairs_csv": str(pairs_path.resolve()),
"radgraph_simple_f1": aligned["radgraph_simple_f1"],
"radgraph_partial_f1": aligned["radgraph_partial_f1"],
"radgraph_complete_f1": aligned["radgraph_complete_f1"],
"aggregate_json": str(aggregate_path.resolve()),
})
if len(rows) != 12:
raise ValueError(f"expected 12 locked report rows, found {len(rows)}")
args.output_csv.parent.mkdir(parents=True, exist_ok=True)
with args.output_csv.open("w", newline="", encoding="utf-8") as handle:
writer = csv.DictWriter(handle, fieldnames=list(rows[0]))
writer.writeheader()
writer.writerows(rows)
print(json.dumps({"models": len(rows), "output_csv": str(args.output_csv)}, indent=2))
if __name__ == "__main__":
main()
|