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"""Upload selected workspace artifacts to a Hugging Face dataset repository.
The script is intentionally conservative: dry-run mode never imports
``huggingface_hub``, empty targets are skipped, and result targets are resolved from
``/root`` while source/code targets are resolved from ``/workspace``.
"""
from __future__ import annotations
import argparse
import getpass
import os
from pathlib import Path
WORKSPACE_ROOT = Path(os.environ.get("VSI_WORKSPACE_ROOT", "/workspace"))
RESULTS_HOST_ROOT = Path(os.environ.get("VSI_RESULTS_HOST_ROOT", "/root"))
DEFAULT_REPO = os.environ.get("VSI_BACKUP_REPO", "AntonioJun/workspace")
TARGETS = {
"code": [
"README.md",
"setup.sh",
"backup.py",
"analysis",
"encoder",
"harness",
"inference",
"symbolic",
"tests",
"selective_frame_counts.csv",
],
"reports": ["reports"],
"spatial-codes": ["data/spatial codes", "bundles/spatial-codes.tar.gz"],
"caches": ["data/caches"],
"A": ["results/A"],
"B": ["results/B"],
"C": ["results/C"],
"F": ["results/F"],
}
def _resolve_targets(target):
if target == "all":
return list(TARGETS)
requested = [part.strip() for part in str(target).split(",") if part.strip()]
unknown = [name for name in requested if name not in TARGETS]
if unknown:
raise ValueError(f"unknown target(s): {', '.join(unknown)}")
return requested
def _local_path(relative):
relative = str(relative).lstrip("/")
root = RESULTS_HOST_ROOT if relative.startswith("results/") else WORKSPACE_ROOT
return root / relative
def _has_files(path):
path = Path(path)
if path.is_file():
return True
if path.is_dir():
return any(child.is_file() for child in path.rglob("*"))
return False
def _target_root(relatives):
roots = {
"results" if str(rel).lstrip("/").startswith("results/") else "workspace"
for rel in relatives
}
if len(roots) > 1:
raise ValueError(
f"target mixes incompatible workspace/results roots: {relatives}"
)
return RESULTS_HOST_ROOT if "results" in roots else WORKSPACE_ROOT
def _path_in_repo(relative):
return str(relative).lstrip("/")
def backup(repo_id=DEFAULT_REPO, target="all", dry_run=False, token=None):
selected = _resolve_targets(target)
uploaded = []
for name in selected:
relatives = TARGETS[name]
_target_root(relatives)
existing = [(relative, _local_path(relative)) for relative in relatives]
existing = [(relative, path) for relative, path in existing if _has_files(path)]
if not existing:
print(f"[{name}] skipped: no files found")
continue
uploaded.append(name)
if dry_run:
for relative, path in existing:
print(
f"[{name}] would upload {path} -> {repo_id}/{_path_in_repo(relative)}"
)
continue
from huggingface_hub import HfApi
api = HfApi(token=token)
for relative, path in existing:
repo_path = _path_in_repo(relative)
if path.is_dir():
api.upload_folder(
folder_path=str(path),
repo_id=repo_id,
repo_type="dataset",
path_in_repo=repo_path,
)
else:
api.upload_file(
path_or_fileobj=str(path),
repo_id=repo_id,
repo_type="dataset",
path_in_repo=repo_path,
)
print(f"[{name}] uploaded {path} -> {repo_id}/{repo_path}")
return uploaded
def main(argv=None):
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"target", nargs="?", default="all", help="target name, comma list, or all"
)
parser.add_argument("--repo", default=DEFAULT_REPO)
parser.add_argument(
"--token",
default=os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN"),
)
parser.add_argument("--dry-run", action="store_true")
args = parser.parse_args(argv)
token = args.token
if not args.dry_run and not token:
token = getpass.getpass("HF token: ")
backup(args.repo, args.target, dry_run=args.dry_run, token=token)
if __name__ == "__main__":
main()
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