Update sync_run.py
Browse files- sync_run.py +56 -45
sync_run.py
CHANGED
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@@ -7,69 +7,80 @@ from huggingface_hub import HfApi, snapshot_download
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# 配置
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TOKEN = os.getenv("HF_TOKEN")
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DATASET_ID = os.getenv("DATASET_ID")
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api = HfApi(token=TOKEN)
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def download_data():
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"""
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if not DATASET_ID:
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print("[System] 未配置 DATASET_ID
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return
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def upload_data():
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"""定时
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while True:
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if not DATASET_ID:
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continue
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if __name__ == "__main__":
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#
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for
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os.makedirs(
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# 1. 启动前
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download_data()
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# 2. 启动
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backup_thread = threading.Thread(target=upload_data, daemon=True)
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backup_thread.start()
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# 3.
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subprocess.run(["python", "webui.py", "--host", "0.0.0.0", "--port", "7860"])
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# 配置
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TOKEN = os.getenv("HF_TOKEN")
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DATASET_ID = os.getenv("DATASET_ID")
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# 定义需要监控的目录和文件类型
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SYNC_FOLDERS = ["data", "output", "config"]
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SYNC_EXTENSIONS = [".json", ".db", ".yaml", ".yml", ".txt", ".env"]
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api = HfApi(token=TOKEN)
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def download_data():
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"""启动前:从 Dataset 下载所有备份"""
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if not DATASET_ID:
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print("[System] 警告: 未配置 DATASET_ID")
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return
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try:
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print(f"[System] 正在从 Dataset ({DATASET_ID}) 拉取持久化数据...")
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# 下载到当前目录,允许覆盖,但排除代码文件防止版本冲突
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snapshot_download(
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repo_id=DATASET_ID,
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repo_type="dataset",
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local_dir=".",
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token=TOKEN,
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ignore_patterns=["*.py", "Dockerfile", "requirements.txt", "logs/*", ".git/*"]
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)
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print("[System] 数据拉取完成。")
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except Exception as e:
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print(f"[System] 拉取失败 (首次运行或网络问题): {e}")
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def upload_data():
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"""运行中:定时将改动上传至 Dataset"""
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while True:
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# 每 2 分钟备份一次(缩短时间,防止改完密码还没备份就休眠了)
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time.sleep(120)
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if not DATASET_ID:
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continue
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try:
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# 扫描当前目录下所有符合条件的文件进行上传
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# 我们直接上传整个根目录,但通过 allow_patterns 过滤出我们要的文件
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api.upload_folder(
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folder_path=".",
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repo_id=DATASET_ID,
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repo_type="dataset",
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commit_message="Auto-backup data and configs",
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allow_patterns=[
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"data/**",
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"output/**",
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"config/**",
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"*.json",
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"*.db",
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"*.yaml",
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"*.yml",
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".env"
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],
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ignore_patterns=["logs/**", "__pycache__/**"],
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run_as_future=True
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)
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print(f"[Backup] {time.strftime('%H:%M:%S')} 备份同步任务已提交")
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except Exception as e:
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if "No files have been modified" not in str(e):
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print(f"[Backup] 备份出错: {e}")
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if __name__ == "__main__":
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# 确保基础目录存在
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for folder in SYNC_FOLDERS:
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os.makedirs(folder, exist_ok=True)
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# 1. 启动前同步云端数据到本地
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download_data()
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# 2. 启动后台备份线程
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backup_thread = threading.Thread(target=upload_data, daemon=True)
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backup_thread.start()
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# 3. 启动主程序
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# 注意:根据你的日志,程序默认端口是 8000,但 HF 要求 7860
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# 我们强制它运行在 7860
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print("[System] 正在启动 OpenAI/Codex CLI...")
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subprocess.run(["python", "webui.py", "--host", "0.0.0.0", "--port", "7860"])
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