| from __future__ import annotations |
|
|
| import argparse |
| import csv |
| import sys |
| from pathlib import Path |
|
|
| sys.path.append(str(Path(__file__).resolve().parents[1])) |
| from src.io_utils import read_json, resolve_path |
|
|
|
|
| def main() -> None: |
| parser = argparse.ArgumentParser() |
| parser.add_argument("--config", default=None, help="Accepted for consistency; not required.") |
| parser.add_argument("--output_dir", required=True) |
| args = parser.parse_args() |
|
|
| out_dir = resolve_path(args.output_dir, Path.cwd()) |
| baseline = read_json(out_dir / "baseline_metrics.json") |
| finetuned = read_json(out_dir / "finetuned_metrics.json") |
| keys = sorted(set(baseline) | set(finetuned)) |
| rows = [] |
| for key in keys: |
| before = baseline.get(key) |
| after = finetuned.get(key) |
| delta = after - before if isinstance(before, (int, float)) and isinstance(after, (int, float)) else "" |
| rows.append({"metric": key, "baseline": before, "finetuned": after, "delta": delta}) |
|
|
| widths = { |
| "metric": max(len("metric"), *(len(str(r["metric"])) for r in rows)), |
| "baseline": max(len("baseline"), *(len(str(r["baseline"])) for r in rows)), |
| "finetuned": max(len("finetuned"), *(len(str(r["finetuned"])) for r in rows)), |
| "delta": max(len("delta"), *(len(str(r["delta"])) for r in rows)), |
| } |
| header = f"{'metric':<{widths['metric']}} {'baseline':>{widths['baseline']}} {'finetuned':>{widths['finetuned']}} {'delta':>{widths['delta']}}" |
| print(header) |
| print("-" * len(header)) |
| for r in rows: |
| print( |
| f"{str(r['metric']):<{widths['metric']}} " |
| f"{str(r['baseline']):>{widths['baseline']}} " |
| f"{str(r['finetuned']):>{widths['finetuned']}} " |
| f"{str(r['delta']):>{widths['delta']}}" |
| ) |
|
|
| csv_path = out_dir / "comparison.csv" |
| with csv_path.open("w", newline="", encoding="utf-8") as f: |
| writer = csv.DictWriter(f, fieldnames=["metric", "baseline", "finetuned", "delta"]) |
| writer.writeheader() |
| writer.writerows(rows) |
| print(f"Saved comparison to {csv_path}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|