| |
| """Audit existing exports. This does not run acquisition or regenerate results.""" |
|
|
| import argparse |
| import csv |
| import json |
|
|
| from release_support import add_path_arguments |
| from run_experiment import METHODS |
|
|
|
|
| def audit_incremental(run_root, checkpoints=100): |
| """Detect repeated prior blocks, including the historical resume-export bug.""" |
| seen = set() |
| next_order = 1 |
| issues = [] |
| for percentage in range(1, checkpoints + 1): |
| path = run_root / "queried_cells/newly_queried" / f"queried_{percentage:03d}pct.csv" |
| if not path.is_file(): |
| issues.append(f"Missing incremental checkpoint {percentage}") |
| continue |
| with path.open(newline="") as handle: |
| for row in csv.DictReader(handle): |
| order, flat = int(row["query_order"]), int(row["flat_index"]) |
| if order != next_order: |
| issues.append(f"Checkpoint {percentage}: expected query order {next_order}, found {order}") |
| if flat in seen: |
| issues.append(f"Checkpoint {percentage}: repeated flat index {flat}") |
| seen.add(flat) |
| next_order = order + 1 |
| return {"unique_cells": len(seen), "issues": issues} |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser(description=__doc__) |
| add_path_arguments(parser, inputs=False) |
| parser.add_argument("--methods", nargs="+", choices=METHODS, default=list(METHODS)) |
| parser.add_argument("--folds", nargs="+", type=int, choices=range(5), default=list(range(5))) |
| parser.add_argument("--seeds", nargs="+", type=int, default=[0, 1, 2]) |
| parser.add_argument("--smoke-test", action="store_true") |
| parser.add_argument("--check-incremental", action="store_true", |
| help="Read incremental logs to check contiguous query orders and uniqueness across checkpoints.") |
| args = parser.parse_args() |
| records = [] |
| for method in args.methods: |
| for fold in args.folds: |
| for seed in args.seeds: |
| root = args.output_dir / ("smoke" if args.smoke_test else "runs") / method / f"fold{fold}" / f"seed{seed}" |
| counts = {name: len(list((root / subpath).glob("*.csv"))) for name, subpath in { |
| "matrices": "strict_score_matrices", "cumulative_logs": "queried_cells/cumulative", |
| "incremental_logs": "queried_cells/newly_queried"}.items()} |
| complete = (root / "run_state/complete.json").is_file() |
| item = {"method": method, "fold": fold, "seed": seed, **counts, "complete_marker": complete, |
| "pass": complete and all(count == 100 for count in counts.values())} |
| if args.check_incremental: |
| item["incremental_audit"] = audit_incremental(root) |
| item["pass"] = item["pass"] and not item["incremental_audit"]["issues"] |
| records.append(item) |
| report = {"scope": "file counts and incremental order/uniqueness" if args.check_incremental else "file counts only", |
| "expected_runs": len(records), "passing_runs": sum(x["pass"] for x in records), "runs": records} |
| print(json.dumps(report, indent=2)) |
| if not all(x["pass"] for x in records): |
| raise SystemExit(1) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
