| |
| from __future__ import annotations |
|
|
| import argparse |
| import csv |
| import gzip |
| import json |
| from pathlib import Path |
|
|
|
|
| def read_csv_rows(path: Path) -> list[dict[str, str]]: |
| if path.suffix == ".gz": |
| handle = gzip.open(path, "rt", encoding="utf-8", newline="") |
| else: |
| handle = path.open("r", encoding="utf-8", newline="") |
| with handle: |
| return list(csv.DictReader(handle)) |
|
|
|
|
| def main() -> None: |
| parser = argparse.ArgumentParser(description="Run a dependency-light CB-Telemetry smoke check.") |
| parser.add_argument("--root", default=".") |
| args = parser.parse_args() |
| root = Path(args.root).resolve() |
| scored = read_csv_rows(root / "manifests" / "scored_snapshot_manifest.csv") |
| samples = read_csv_rows(root / "manifests" / "audio_sample_manifest.csv") |
| default_features = read_csv_rows(root / "features" / "feature_table_default.csv.gz") |
| strict_features = read_csv_rows(root / "features" / "feature_table_strict_clean.csv.gz") |
| summary = { |
| "status": "pass", |
| "scored_rows": len(scored), |
| "audio_sample_rows": len(samples), |
| "default_feature_rows": len(default_features), |
| "strict_feature_rows": len(strict_features), |
| "jstage_matched_recordings": sum(1 for row in scored if int(float(row.get("jstage_event_count") or 0)) > 0), |
| } |
| (root / "qa").mkdir(parents=True, exist_ok=True) |
| (root / "qa" / "smoke_eval_summary.json").write_text( |
| json.dumps(summary, indent=2, ensure_ascii=False) + "\n", |
| encoding="utf-8", |
| ) |
| print(json.dumps(summary, indent=2, ensure_ascii=False)) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|