File size: 2,842 Bytes
ebc0d9f | 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 | #!/usr/bin/env python3
"""Inspect Space settings, exact model inventories and authorized download access.
This does not change the Space, download tensor payloads or run model inference.
Authentication comes from HF_TOKEN or the local Hugging Face login cache.
"""
from __future__ import annotations
import argparse
import json
import os
from pathlib import Path
import sys
ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT))
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--space", default="UniLat3D/Supra-Tex")
parser.add_argument("--repo", default="supra3d/supra-tex")
parser.add_argument("--revision")
parser.add_argument("--output", type=Path, default=ROOT / ".deployment-evidence/deployment-audit.json")
args = parser.parse_args()
# The desktop runtime and the user's terminal can have different cache roots.
# Record only the cache path in local evidence; no token enters the repository.
local_state = ROOT / ".deployment-evidence/deployment-state.json"
if local_state.is_file() and not os.environ.get("HF_TOKEN"):
cache = json.loads(local_state.read_text()).get("auth_cache")
if cache:
os.environ.setdefault("HF_HOME", cache)
from huggingface_hub import HfApi, get_token
from hf_space.audit import audit_sources
from scripts.install_runtime import NATTEN_VERSION
api = HfApi()
account = api.whoami()["name"] if get_token() else None
space = api.space_info(args.space)
arguments = ["--repo", args.repo, "--with-rmbg"]
if args.revision:
arguments.extend(["--revision", args.revision])
models = audit_sources(arguments)
files = [item.rfilename for item in space.siblings]
report = {
"authenticated_account": account,
"space": {"id": args.space, "commit": space.sha,
"configuration": space.card_data.to_dict() if space.card_data else {},
"runtime": space.runtime.raw, "files": files},
"supplied_source_runtime": {"python": "3.10", "torch": "2.6.0+cu124",
"natten": NATTEN_VERSION},
"local_app_entrypoint_present": (ROOT / "app.py").is_file(),
"remote_app_entrypoint_present": "app.py" in files,
"models": models,
"validation_limits": ["No tensor payloads downloaded", "Native CUDA builds not tested",
"ZeroGPU compatibility not established", "Full image-to-GLB inference not run"],
}
args.output.parent.mkdir(parents=True, exist_ok=True)
args.output.write_text(json.dumps(report, indent=2) + "\n", encoding="utf-8")
print(json.dumps(report, indent=2))
return 0 if models["ok"] and "app.py" in files else 2
if __name__ == "__main__":
raise SystemExit(main())
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