Function write_per_document_csv

perf/run_perf.py:484–520

(rows: List[Row], out_path: Path)

def write_per_document_csv(rows: List[Row], out_path: Path) -> Path:
    per_doc = compute_per_document_stats(rows)
    per_doc_path = out_path.with_name(out_path.stem + "_per_doc" + out_path.suffix)
    with per_doc_path.open("w", newline="") as f:
        w = csv.writer(f)
        w.writerow(
            [
                "basename",
                "document",
                "pages",
                "total",
                "mean",
                "median",
                "min",
                "max",
                "p90",
                "p95",
                "p99",
            ]
        )
        for s in per_doc:
            w.writerow(
                [
                    Path(s["document"]).name,
                    s["document"],
                    s["pages"],
                    fmt_seconds(s["total"]),
                    fmt_seconds(s["mean"]),
                    fmt_seconds(s["median"]),
                    fmt_seconds(s["min"]),
                    fmt_seconds(s["max"]),
                    fmt_seconds(s["p90"]),
                    fmt_seconds(s["p95"]),
                    fmt_seconds(s["p99"]),
                ]
            )
    return per_doc_path


def _get_timing_keys_from_rows(rows: List[Row]) -> List[str]: