#!/usr/bin/env python3 """Download cmd-shard artifacts from GCS, preserving their repo-relative paths. gke/.venv/bin/python gke/fetch_artifacts.py --run tgt10-dog-breed-identification gke/.venv/bin/python gke/fetch_artifacts.py --prefix tgt10- # every matching run `submit_eval.py collect` concatenates every *.jsonl under a run into one file, which is right for eval rows and wrong for cmd artifacts: a collection run uploads tgt_.jsonl AND its summary sidecars, and a pool run uploads both the raw states and the scored states — merging those duplicates every row. This keeps each artifact as the file the pod wrote it as. """ from __future__ import annotations import argparse from pathlib import Path from google.cloud import storage from settings import BUCKET, PROJECT REPO = Path(__file__).resolve().parent.parent def main() -> int: ap = argparse.ArgumentParser(description=__doc__) ap.add_argument("--run", action="append", default=[]) ap.add_argument("--prefix", default="", help="fetch every run whose name starts with this") ap.add_argument("--dest", default=str(REPO), help="artifact paths are repo-relative; default writes " "them into the repo tree") args = ap.parse_args() client = storage.Client(project=PROJECT) bucket = client.bucket(BUCKET) runs = list(args.run) if args.prefix: seen = set() for bl in client.list_blobs(BUCKET, prefix="runs/"): name = bl.name.split("/")[1] if name.startswith(args.prefix): seen.add(name) runs += sorted(seen - set(runs)) if not runs: raise SystemExit("nothing to fetch: pass --run or --prefix") n = 0 for run in runs: for bl in client.list_blobs(BUCKET, prefix=f"runs/{run}/shards/"): if "-artifacts/" not in bl.name: continue rel = bl.name.split("-artifacts/", 1)[1] dest = Path(args.dest) / rel dest.parent.mkdir(parents=True, exist_ok=True) bl.download_to_filename(dest) print(f"[{run}] {rel} ({(bl.size or 0)/1e6:.1f} MB)") n += 1 print(f"{n} artifacts from {len(runs)} runs") return 0 if __name__ == "__main__": raise SystemExit(main())