File size: 1,990 Bytes
5bafa33 edb863c 5bafa33 112e7a5 edb863c 5bafa33 edb863c b2c43fb 5bafa33 112e7a5 5bafa33 112e7a5 5bafa33 112e7a5 5bafa33 | 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 | # backend/data/push_code_to_hf_space.py
"""
Uploads the complete local codebase directly to Hugging Face Space (Ypeng12/quant-ai)
ensuring that all Python scripts, configs, and frontend files are 100% up-to-date on Hugging Face.
"""
import os
import sys
def push_code_to_hf_space():
repo_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))
space_id = "Ypeng12/quant-ai"
print(f"🚀 开始将本地最新代码上传至 Hugging Face Space ({space_id})...")
try:
from huggingface_hub import HfApi
token = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_TOKEN") or os.getenv("HF_HUB_TOKEN")
if not token:
token_path = os.path.expanduser("~/.cache/huggingface/token")
if os.path.exists(token_path):
with open(token_path, "r") as f:
token = f.read().strip()
api = HfApi(token=token) if token else HfApi()
print(f"[*] Uploading source code to HF Space ({space_id})...", flush=True)
res = api.upload_folder(
folder_path=repo_root,
repo_id=space_id,
repo_type="space",
ignore_patterns=[
".git/*",
"node_modules/*",
"__pycache__/*",
"*.pyc",
"venv/*",
".venv/*",
"dist/*",
"build/*",
"backend/data/datasets/*",
"cpp_engine/*.so",
"*.cache/*",
".cache/*",
"*/.cache/*"
],
commit_message="feat(ai): integrate per-ticker ml models and dynamic trailing stop"
)
print(f"✅ 成功将最新代码与配置同步上传至 Hugging Face Space ({space_id})！\nCommit: {res}", flush=True)
except Exception as e:
print(f"❌ 上传至 Hugging Face Space 提示/失败: {e}", flush=True)
if __name__ == "__main__":
push_code_to_hf_space()
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