File size: 6,199 Bytes
ae0621a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 | #!/usr/bin/env python3
"""
Download selected PhysInOne case zip files from Hugging Face shard repositories.
Input:
selected_cases.json produced by filter_cases.py
repo_map.json mapping part IDs to Hugging Face repo IDs
Recommended repo_map.json format:
{
"physinone_part1": "PhysInOneP01/PhysInOneP01",
"physinone_part2": "PhysInOneP02/PhysInOneP02"
}
The script downloads each selected case zip using huggingface_hub.hf_hub_download.
"""
from __future__ import annotations
import argparse
import json
import shutil
from pathlib import Path
from urllib.parse import urlparse
from huggingface_hub import hf_hub_download
from tqdm import tqdm
DEFAULT_SELECTION_FILE = Path("selected_cases.json")
DEFAULT_REPO_MAP_FILE = Path("metadata/repo_map.json")
def normalize_repo_id(value: str) -> str:
"""Accept either a repo id or a Hugging Face URL and return repo id."""
value = value.strip().rstrip("/")
if value.startswith("http://") or value.startswith("https://"):
parsed = urlparse(value)
# Expected: /datasets/PhysInOneP01/PhysInOneP01[/tree/main]
parts = [p for p in parsed.path.split("/") if p]
if len(parts) >= 3 and parts[0] == "datasets":
return f"{parts[1]}/{parts[2]}"
raise ValueError(f"Cannot parse Hugging Face dataset repo URL: {value}")
return value
def load_json(path: Path) -> dict:
if not path.exists():
raise FileNotFoundError(f"File not found: {path}")
return json.loads(path.read_text(encoding="utf-8"))
def load_repo_map(path: Path) -> dict[str, str]:
data = load_json(path)
if not isinstance(data, dict):
raise ValueError("repo_map.json must be a dictionary: part_id -> repo_id")
return {str(k): normalize_repo_id(str(v)) for k, v in data.items()}
def safe_output_path(output_dir: Path, case: dict, keep_shard_structure: bool) -> Path:
filename = Path(case["hf_zip_path"]).name
if keep_shard_structure:
# Preserve Split/ActivityType layout.
return output_dir / case["part_id"] / case["split"] / case["activity_type"] / filename
return output_dir / filename
def main() -> None:
parser = argparse.ArgumentParser(description="Download PhysInOne selected case zips.")
parser.add_argument(
"--selection",
type=Path,
default=DEFAULT_SELECTION_FILE,
help=f"selected_cases.json from filter_cases.py. Default: {DEFAULT_SELECTION_FILE}",
)
parser.add_argument(
"--repo_map",
type=Path,
default=DEFAULT_REPO_MAP_FILE,
help=f"JSON mapping part_id to HF repo id. Default: {DEFAULT_REPO_MAP_FILE}",
)
parser.add_argument(
"--output_dir",
type=Path,
default=Path("./PhysInOne"),
help="Local output directory. Default: ./PhysInOne",
)
parser.add_argument(
"--repo_type",
type=str,
default="dataset",
help="Hugging Face repo type. Default: dataset",
)
parser.add_argument(
"--revision",
type=str,
default="main",
help="Hugging Face revision/branch. Default: main",
)
parser.add_argument(
"--token",
type=str,
default=None,
help="Optional Hugging Face token for gated/private repos.",
)
parser.add_argument(
"--keep_shard_structure",
action="store_true",
help="Save as output_dir/part_id/Split/ActivityType/*.zip instead of a flat folder.",
)
parser.add_argument(
"--dry_run",
action="store_true",
help="Print planned downloads without downloading.",
)
parser.add_argument(
"--overwrite",
action="store_true",
help="Overwrite local files if they already exist.",
)
args = parser.parse_args()
selection = load_json(args.selection)
repo_map = load_repo_map(args.repo_map)
cases = selection.get("cases", [])
if not isinstance(cases, list):
raise ValueError("selection JSON must contain a list field named 'cases'.")
args.output_dir.mkdir(parents=True, exist_ok=True)
missing_parts = sorted({case["part_id"] for case in cases if case["part_id"] not in repo_map})
if missing_parts:
raise KeyError(
"The following part IDs are missing from repo_map.json: "
+ ", ".join(missing_parts)
)
print(f"Cases to download: {len(cases)}")
if args.dry_run:
for case in cases[:20]:
repo_id = repo_map[case["part_id"]]
out_path = safe_output_path(args.output_dir, case, args.keep_shard_structure)
print(f"{repo_id} :: {case['hf_zip_path']} -> {out_path}")
if len(cases) > 20:
print(f"... and {len(cases) - 20} more")
return
failures = []
for case in tqdm(cases, desc="Downloading cases"):
repo_id = repo_map[case["part_id"]]
filename = case["hf_zip_path"]
out_path = safe_output_path(args.output_dir, case, args.keep_shard_structure)
out_path.parent.mkdir(parents=True, exist_ok=True)
if out_path.exists() and not args.overwrite:
continue
try:
cached_file = hf_hub_download(
repo_id=repo_id,
filename=filename,
repo_type=args.repo_type,
revision=args.revision,
token=args.token,
)
shutil.copy2(cached_file, out_path)
except Exception as exc: # Keep going and summarize failures.
failures.append(
{
"case_id": case.get("case_id"),
"part_id": case.get("part_id"),
"repo_id": repo_id,
"hf_zip_path": filename,
"error": repr(exc),
}
)
if failures:
failure_path = args.output_dir / "download_failures.json"
failure_path.write_text(json.dumps(failures, indent=2, ensure_ascii=False), encoding="utf-8")
print(f"Finished with {len(failures)} failures. See: {failure_path}")
else:
print("All downloads completed successfully.")
if __name__ == "__main__":
main()
|