#!/usr/bin/env python3 import argparse import json import math import sys from pathlib import Path from finixdoc_md_eval.omnidocbench_adapter import evaluate_md_dirs def parse_args(): parser = argparse.ArgumentParser( description="Evaluate Markdown OCR/parsing results with text, reading-order, and table metrics." ) parser.add_argument("--gt_dir", required=True, help="Directory containing ground-truth .md files.") parser.add_argument("--pred_dir", required=True, help="Directory containing prediction .md files.") parser.add_argument( "--output_json", default="eval_result.json", help="Path to write metric results. Default: eval_result.json", ) parser.add_argument( "--allow_name_mismatch", action="store_true", help="Do not fail when gt/pred .md file names differ. Missing predictions are scored as empty.", ) return parser.parse_args() def md_names(path): return {p.name for p in Path(path).iterdir() if p.is_file() and p.suffix == ".md"} def validate_inputs(gt_dir, pred_dir, allow_name_mismatch=False): gt_path = Path(gt_dir) pred_path = Path(pred_dir) if not gt_path.is_dir(): raise ValueError(f"GT directory does not exist: {gt_path}") if not pred_path.is_dir(): raise ValueError(f"Prediction directory does not exist: {pred_path}") gt_files = md_names(gt_path) pred_files = md_names(pred_path) if not gt_files: raise ValueError(f"No .md files found in GT directory: {gt_path}") if not pred_files: raise ValueError(f"No .md files found in prediction directory: {pred_path}") missing = sorted(gt_files - pred_files) extra = sorted(pred_files - gt_files) if not allow_name_mismatch and (missing or extra): message = [ "GT and prediction .md file names must match.", f"GT files: {len(gt_files)}", f"Prediction files: {len(pred_files)}", ] if missing: message.append(f"Missing predictions: {len(missing)}; first: {missing[0]}") if extra: message.append(f"Unexpected predictions: {len(extra)}; first: {extra[0]}") raise ValueError(" ".join(message)) return { "gt_files": len(gt_files), "pred_files": len(pred_files), "missing_predictions": len(missing), "unexpected_predictions": len(extra), } def rounded_metrics(metrics): clean = {} for key, value in metrics.items(): if isinstance(value, float): clean[key] = None if math.isnan(value) else round(value, 6) else: clean[key] = value clean["score"] = clean["overall"] return clean def main(): args = parse_args() try: input_summary = validate_inputs(args.gt_dir, args.pred_dir, args.allow_name_mismatch) metrics = evaluate_md_dirs(args.gt_dir, args.pred_dir) result = { "success": True, "metrics": rounded_metrics(metrics), "inputs": input_summary, } output_path = Path(args.output_json) output_path.parent.mkdir(parents=True, exist_ok=True) output_path.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8") print("FinixDoc Markdown Evaluation") print(f" samples: {metrics['num_samples']}") print(f" text_block_Edit_dist: {metrics['text_block_Edit_dist']:.6f}") print(f" reading_order_Edit_dist: {metrics['reading_order_Edit_dist']:.6f}") print(f" table_TEDS: {metrics['table_TEDS']:.6f}") print(f" overall: {metrics['overall']:.6f}") print(f" result_json: {output_path}") except Exception as exc: result = { "success": False, "error": str(exc), } output_path = Path(args.output_json) output_path.parent.mkdir(parents=True, exist_ok=True) output_path.write_text(json.dumps(result, ensure_ascii=False, indent=2), encoding="utf-8") print(f"Evaluation failed: {exc}", file=sys.stderr) sys.exit(1) if __name__ == "__main__": main()