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21c7db9 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 | #!/usr/bin/env python3
"""Create/update the private Hugging Face Space used for PolyGuard training."""
from __future__ import annotations
import argparse
import os
from pathlib import Path
import shutil
import sys
from huggingface_hub import HfApi
ROOT = Path(__file__).resolve().parents[1]
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Deploy the PolyGuard remote training Space.")
parser.add_argument("--repo-id", default="TheJackBright/polyguard-openenv-training-full")
parser.add_argument("--artifact-repo-id", default="TheJackBright/polyguard-openenv-training-full-artifacts")
parser.add_argument("--model-id", default="Qwen/Qwen2.5-0.5B-Instruct")
parser.add_argument(
"--model-sweep",
default="Qwen/Qwen2.5-0.5B-Instruct,Qwen/Qwen2.5-1.5B-Instruct,Qwen/Qwen2.5-3B-Instruct",
)
parser.add_argument(
"--training-mode",
choices=["full", "sft-baseline"],
default="full",
help="Run the full SFT+GRPO sweep or an SFT-only baseline sweep.",
)
parser.add_argument("--sft-epochs", type=int, default=2)
parser.add_argument(
"--sft-epoch-sweep",
default="",
help="Optional comma-separated per-model SFT epochs, aligned to --model-sweep.",
)
parser.add_argument("--grpo-epochs", type=float, default=1.0)
parser.add_argument("--sft-max-steps", type=int, default=0)
parser.add_argument(
"--sft-max-step-sweep",
default="",
help="Optional comma-separated per-model SFT max steps, aligned to --model-sweep.",
)
parser.add_argument(
"--sft-batch-size-sweep",
default="",
help="Optional comma-separated per-model SFT batch sizes, aligned to --model-sweep.",
)
parser.add_argument("--grpo-max-steps", type=int, default=0)
parser.add_argument("--grpo-max-prompts", type=int, default=0)
parser.add_argument("--grpo-num-generations", type=int, default=2)
parser.add_argument("--reuse-remote-grpo", action="store_true")
parser.add_argument("--hardware", default="a10g-large")
parser.add_argument("--sleep-time", type=int, default=3600)
parser.add_argument("--bundle-dir", default="/tmp/polyguard-openenv-training-space")
parser.add_argument("--public", action="store_true")
parser.add_argument("--skip-upload", action="store_true")
parser.add_argument("--bundle-only", action="store_true")
return parser.parse_args()
def _ignore(_dir: str, names: list[str]) -> set[str]:
ignored = {
".git",
".venv",
"__pycache__",
".pytest_cache",
".mypy_cache",
".ruff_cache",
"outputs",
"checkpoints",
"submission_bundle",
"hf_artifacts",
"polyguard_rl.egg-info",
"dist",
"build",
}
return {
name
for name in names
if name in ignored
or name.endswith(".pyc")
or name == "node_modules"
or name == ".DS_Store"
}
def build_bundle(bundle_dir: Path) -> None:
if bundle_dir.exists():
shutil.rmtree(bundle_dir)
shutil.copytree(ROOT, bundle_dir, ignore=_ignore)
shutil.copy2(ROOT / "app" / "hf_space" / "Dockerfile", bundle_dir / "Dockerfile")
project_readme = bundle_dir / "PROJECT_README.md"
if (bundle_dir / "README.md").exists():
(bundle_dir / "README.md").replace(project_readme)
(bundle_dir / "README.md").write_text(
"""---
title: PolyGuard HF Training
sdk: docker
app_port: 7860
pinned: false
---
# PolyGuard HF Training
Private Docker Space for running PolyGuard SFT/GRPO training on Hugging Face hardware.
The original project README is included as `PROJECT_README.md`.
""",
encoding="utf-8",
)
def main() -> None:
args = parse_args()
bundle_dir = Path(args.bundle_dir)
build_bundle(bundle_dir)
if args.bundle_only:
print(f"bundle_dir={bundle_dir}")
return
token = os.getenv("HF_TOKEN")
api = HfApi(token=token)
whoami = api.whoami(token=token)
username = str(whoami.get("name") or whoami.get("fullname") or "")
if username and not args.repo_id.startswith(f"{username}/"):
print(f"[deploy_training_space] authenticated as {username}; target={args.repo_id}")
space_variables = [
{"key": "POLYGUARD_MODEL_ID", "value": args.model_id},
{"key": "POLYGUARD_MODEL_SWEEP", "value": args.model_sweep},
{"key": "POLYGUARD_TRAINING_MODE", "value": args.training_mode},
{"key": "POLYGUARD_OFFLINE_MODE", "value": "false"},
{"key": "POLYGUARD_AUTORUN", "value": "1"},
{"key": "POLYGUARD_ARTIFACT_REPO_ID", "value": args.artifact_repo_id},
{"key": "POLYGUARD_SPACE_REPO_ID", "value": args.repo_id},
{"key": "POLYGUARD_SFT_EPOCHS", "value": str(args.sft_epochs)},
{"key": "POLYGUARD_SFT_EPOCH_SWEEP", "value": args.sft_epoch_sweep},
{"key": "POLYGUARD_GRPO_EPOCHS", "value": str(args.grpo_epochs)},
{"key": "POLYGUARD_SFT_MAX_STEPS", "value": str(args.sft_max_steps)},
{"key": "POLYGUARD_SFT_MAX_STEP_SWEEP", "value": args.sft_max_step_sweep},
{"key": "POLYGUARD_SFT_BATCH_SIZE_SWEEP", "value": args.sft_batch_size_sweep},
{"key": "POLYGUARD_GRPO_MAX_STEPS", "value": str(args.grpo_max_steps)},
{"key": "POLYGUARD_GRPO_MAX_PROMPTS", "value": str(args.grpo_max_prompts)},
{"key": "POLYGUARD_GRPO_NUM_GENERATIONS", "value": str(args.grpo_num_generations)},
{"key": "POLYGUARD_REUSE_REMOTE_GRPO", "value": "true" if args.reuse_remote_grpo else "false"},
{"key": "POLYGUARD_INCREMENTAL_UPLOAD", "value": "true"},
{"key": "POLYGUARD_UPLOAD_AFTER_EACH_STAGE", "value": "true"},
{"key": "POLYGUARD_LOG_UPLOAD_INTERVAL_SECONDS", "value": "180"},
]
space_secrets = [{"key": "HF_TOKEN", "value": token}] if token else None
api.create_repo(repo_id=args.artifact_repo_id, repo_type="model", private=True, exist_ok=True)
api.create_repo(
repo_id=args.repo_id,
repo_type="space",
space_sdk="docker",
private=not args.public,
exist_ok=True,
space_hardware=args.hardware,
space_sleep_time=args.sleep_time,
space_variables=space_variables,
space_secrets=space_secrets,
)
for variable in space_variables:
api.add_space_variable(repo_id=args.repo_id, key=variable["key"], value=variable["value"])
if token:
api.add_space_secret(repo_id=args.repo_id, key="HF_TOKEN", value=token)
if not args.skip_upload:
api.upload_folder(
repo_id=args.repo_id,
repo_type="space",
folder_path=str(bundle_dir),
commit_message="Deploy PolyGuard HF training Space",
ignore_patterns=[
".git/*",
".venv/*",
"**/node_modules/*",
"outputs/*",
"checkpoints/*",
"submission_bundle/*",
"hf_artifacts/*",
"**/__pycache__/*",
"*.pyc",
],
)
try:
api.request_space_hardware(repo_id=args.repo_id, hardware=args.hardware, sleep_time=args.sleep_time)
except Exception as exc: # noqa: BLE001
print(f"hardware_request_warning={exc}", file=sys.stderr)
print(f"space_url=https://huggingface.co/spaces/{args.repo_id}")
print(f"artifact_repo=https://huggingface.co/{args.artifact_repo_id}")
print(f"bundle_dir={bundle_dir}")
if __name__ == "__main__":
main()
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