""" Rebuild PROGRESS.md and _summary.csv from an existing plan + _tasks.csv. Useful when: - The progress tracking logic changed (e.g. empty-svg threshold) and you want to recompute the summary without re-running any tasks. - You merged tasks from multiple runs and need a fresh rollup. Usage: python scripts/rebuild_progress.py \\ --plan scripts/_full_d3_plan.json \\ --output-dir output/quality_check """ import argparse import csv import json import sys from pathlib import Path ROOT = Path(__file__).resolve().parents[1] sys.path.insert(0, str(ROOT)) from scripts._progress import ProgressTracker def parse_args(): p = argparse.ArgumentParser() p.add_argument("--plan", required=True) p.add_argument("--output-dir", default="output/quality_check") p.add_argument("--match-csv", default="scripts/_template_match.csv") p.add_argument("--min-data-for-skipped", type=int, default=5) return p.parse_args() def main(): args = parse_args() with open(args.plan, "r") as fh: plan = json.load(fh) out_dir = Path(args.output_dir) tasks_csv = out_dir / "_tasks.csv" if not tasks_csv.exists(): raise FileNotFoundError(f"missing {tasks_csv}") tracker = ProgressTracker( plan=plan, output_dir=out_dir, match_csv_path=Path(args.match_csv) if args.match_csv else None, min_data_for_plan=args.min_data_for_skipped, ) # We don't reopen _tasks.csv for writing because we just want to recompute # the summary / progress from already-recorded rows. Read them into memory # and let the tracker do the rollup. with open(tasks_csv, "r") as fh: for row in csv.DictReader(fh): tracker.records.append(row) tracker._completed_keys.add((row["chart_name"], row["input"])) tracker._is_closed = True # report status as 'finished' or 'stopped' instead of 'running' tracker.flush() print(f"Rebuilt {tracker.summary_csv}") print(f"Rebuilt {tracker.progress_md}") if __name__ == "__main__": main()